CRC and Conv. Concatenated Channel Coder. Block. Input. Source Coder. Moldulation. Interleaver. Image. Channel. Block. List Viterbi Channel Decoder
|
|
- Rosamund Joseph
- 6 years ago
- Views:
Transcription
1 Variable Rate Channel Coding and Enhanced Interleaving for Image Transmission using an Outage Criterion Salim Manji and Narayan. Mandayam WINLA Rutgers, The State University of New Jersey 7 rett Rd. Piscataway, NJ salim, narayan@winlab.rutgers.edu Abstract - We consider an image transmission system consisting of Set Partitioning in Hierarchical Trees (SPIHT) wavelet-based source coding [1] [2], and List Viterbi Algorithm (LVA) channel coding [] using rate compatible punctured convolutional (RCPC) codes [4]. Our goal is to minimize bandwidth usage while maintaining received image quality. We introduce an outage criterion for image transmission. A received image is considered to be in outage if its pixel values are not identical to the image transmitted. In order to reduce correlation in fading, an enhanced block interleaving scheme employing a subblock structure is proposed. Using RCPC codes, we devise a variable rate channel coding system based on the current channel state information. Combining enhanced interleaving and variable rate channel coding, we construct a method to select the highest rate RCPC code that satises the image outage criterion, thus balancing the requirements of high bandwidth eciency and high image quality. I. Introduction The use of an outage criterion for performance of voice communications over wireless networks is a well established idea [5]. Outage is dened as the event that the instantaneous bit error rate is above an allowable threshold, and the requirement is to limit the probability of outage to some small value. We wish to apply an outage criterion towards the transmission of still images over wireless channels. A typical user requests a download of one source compressed image. We dene image outage as the event that the pixel values of the received image are not identical to the image transmitted. We wish to limit the probability of outage to some small fraction,, of all images transmitted. The conventional metric for image quality is peak signal-to noise ratio (PSNR). ecause we consider transmission over error prone wireless channels, average PSNR may be misleading. The SPIHT source decoder is highly sensitive to even a single bit error, hence the variance of the PSNR may be large. Outage gives a simple and clear metric for received image quality. The combination of Set Partitioning in Hierarchical Trees (SPIHT) wavelet-based source coding [1] [2], and channel coding based on the List Viterbi Algorithm (LVA) [] provides bandwidth ecient, error resilient image transmission over wireless channels [6] [7]. The LVA is a concatenated channel coding system that uses an inner code for error correction and an outer code for error detection. The inner code is either a convolutional code or a rate compatible punctured convolutional (RCPC) code [4]. The outer code is typically a cyclic redundancy check (CRC) code. From a mother code of rate R c = 1=r we can develop a family of weaker, higher rate RCPC codes, all of which use the same encoder and decoder. For example, a rate R c = 1=, memory = 4 convolutional code serves as the mother code for a family of RCPC codes of rate 4=n for n = 5; 6; :::; 12 [4]. In order to change the rate of the RCPC code, minimal additional complexity is required at the transmitter and receiver. Given the current channel state conditions, represented by the mean coded symbol energy-to-noise ratio, we can identify the highest rate RCPC code that will satisfy the outage requirement for image transmission. The assumption is that the channel state is relatively constant over the transmission duration of one image. Choosing the highest rate possible minimizes bandwidth usage. Under poor channel conditions, more channel coding is required to satisfy the outage criterion. Assuming that user cost is proportional to the number of bits transmitted over the channel, our scheme minimizes the cost of image transmission while maintaining image quality. The image transmission system model is given in Section II. In Section III, we develop an enhanced block interleaver. Section IV shows simulations results for image transmission over a slow Rayleigh fading channel. Conclusions are oered in Section V. II. System Model The image transmission system model (see Figure 1) that we propose is comprised of SPIHT source coding, LVA channel coding, and interleaving. The raw image to be transmitted is rst compressed using the SPIHT algorithm. The source coding rate is R s bits per pixel (bpp). The rate of compression is chosen such that the recon-
2 structed image is virtually indistinguishable from the original. We call this imperceptibly lossy source compression. Relative to lossless compression, this approach allows for a signicant increase in the source compression ratio. For the purpose of illustration, consider the well known 8-bit grayscale Lena image with a resolution of l = 256 lines and p = 256 pixels per line. Our experimental results show that lossless compression using the SPIHT algorithm requires a source rate of 4.57 bpp. Lossy compression at a rate of R s = 1:0 bpp results in a reconstructed image with PSNR of 7.67 d. The image is virtually indistinguishable from the original yet oers greater than four times the compression of the lossless image. Thus imperceptibly lossy source coding provides an ecient tradeo between high source compression and high image quality. Input Image Image SPIHT Source Coder SPIHT Source Decoder CRC and Conv. Concatenated Channel Coder List Viterbi Channel Decoder lock lock De- PSK Moldulation Coherent PSK Demodulation Figure 1: Image Transmission System Model. Channel The compressed image is then divided into blocks of K c bits and an (N c ; K c ) CRC channel code is applied for error detection. The number of blocks,, required to represent the compressed image is = l p Rs K c : (1) The CRC blocks are further coded using a convolutional or RCPC code with rate R c and memory units. Prior to convolutional coding, a string of zeros is appended to the output of the CRC code. This ensures that the LVA decoder knows the ending state of the convolutional code. The input to the convolutional coder is a block of length N c +. Thus LVA encoding causes a bit stream expansion by a factor of (N c + )=K c over conventional convolutional coding. The overall rate of the concatenated channel coder is R = Kc N c + R c : (2) The length of each coded block is L = K c =R bits. One parameter that we have chosen to x is N c? K c, the number of parity check bits in the CRC code. A value of N c?k c = 16 ensures that there is virtually zero possibility of an undetected block error. This property of perfect error detection is very desirable and useful. As soon as a block error is detected, transmission may be discontinued since it is known that the received image is in outage. Alternatively, if used in conjunction with a retransmission scheme, the CRC code ensures that retransmissions are limited to those blocks known to be in error. The 16 bit CRC polynomial used for all simulation results is g(x) = x 16 + x 15 + x 14 + x 12 + x 11 + x 8 + x 5 + x 4 + x [8]. We wish to limit the bit stream expansion caused by LVA encoding to 10%. Using a convolutional code with = 4 memory units, and a (216, 200) CRC code results in 220 bits fed to convolutional encoder for every 200 information bits resulting in a 10% expansion as required. After channel coding, the next element in the image transmission model is the interleaver, discussed in detail in Section III. We consider coherent PSK modulation over a slow, frequency non-selective Rayleigh fading channel. We assume that the fading is suciently slow to allow for perfect phase estimation. The mean coded symbol energyto-noise ratio, s, is given as s = E( 2 ) E s N 0 ; () where E s is the energy per coded symbol, and is a Rayleigh distributed random variable. We consider a carrier frequency of f c = 2:0 GHz, which is in the neighborhood of the candidate carrier frequencies for third generation wireless networks [9]. With a mobile velocity of v m/s and a channel rate of C = 64 kbits/s, the resulting Doppler frequency is f D = ( 20 )v Hz and the normalized fading rate is f D T s = (1: ?4 )v. A mobile velocity of 1.5 m/s = 5.4 km/h, which is approximately walking speed, results in f D = 10 Hz and f D T s = 1: ?4. A highway speed of 0 m/s = 108 km/h results in faster fading with f D = 200 Hz. The Rayleigh fading channel is modeled using the method described by Jakes [10]. The correlation function of the fading amplitude,, is [11] (t) = J 2 0 2vt c = J 2 0 (2f D t) (4) where J 0 () is a zero order essel function of the rst kind and c is the wavelength of the carrier. III. Enhanced lock Interleaving It is well known that error performance over a fading channel is signicantly improved by the inclusion of interleaving. Optimal interleaving results in independent fading between two adjacent symbols. Analytical work often assumes that the interleaving depth is adequate to provide independent fading. For image transmission, the assumption of innite interleaving can not be made. This is because, in most situations, a typical user request is to download one single image. Thus the maximum interleaving depth is over the bits that comprise one compressed image. This is likely insucient to result in independent fading over a slow fading channel.
3 The simplest implementation of block interleaving for image transmission is illustrated in Figure 2. Interleaving is performed over the blocks that comprise one image; each block consists of L bits. With an interleaving depth of, the delay between the transmission of two adjacent bits within a block is T s, and the resulting correlation in fading amplitude is (T s ) = J 2 0 (2f D T s ). lock it 1 Input 2 L -1 L Figure 2: Simple lock Interleaving. We propose an enhanced version of block interleaving illustrated in Figure. Each block is divided into N subblocks of length L N bits such that N L N = L. Transmission proceeds across the bits within each subblock. The result of enhanced interleaving is that the delay between the transmission of two adjacent bits within a subblock is increased by a factor of N to NT s, and the resulting correlation in fading amplitude is (NT s ) = J0 2 (2f D NT s ). For use in conjunction with variable rate channel coding, we wish to implement enhanced block interleaving in an eective yet computationally simple manner. The set of available RCPC code rates is R c = 4=n for n = 5; 6; :::; 12 and = 4. Using a (216; 200) CRC code, the resulting block length is L = 55n. Therefore, we can choose a subblock length of L N = 55, resulting in N = n subblocks per block. This oers a structure for enhanced block interleaving that requires little additional complexity and easily implemented for all choices of the RCPC code rate. Enhanced block interleaving increases the delay between two adjacent bits within a subblock. At the same time, it decreases the delay between bits in adjacent subblocks. For example, consider bit i in subblock j and bit i in subblock j + 1 of some arbitrary block k. With simple block interleaving, the delay between the transmission of these two bits is L N T s. Enhanced block interleaving reduces the delay to T s, which may result in correlated fading between these two bits. We contend that this reduction in delay will not degrade performance if L N is suciently large. For conventional Viterbi decoding, excessive storage requirements at the receiver are alleviated by truncating path memories after M trellis sections. The choice of M > 5( + 1) is sucient to result in negligible performance degradation [12]. Therefore, choosing L N > 5( + 1)=R c ensures that the correlated fading between bits in adjacent subblocks is of little consequence. We can make an alternative argument using the minimum distance of the convolutional code. Within the trellis structure of the convolutional code, bit i of subblock j and bit i of subblock j + 1 are separated by L N coded bits. In the event of an LVA decoding error, the error path deviates from the transmitted sequence at some point in the trellis and remerges at some later point. If L N is considerably larger than the minimum distance of the code, d min, then the probability that one error path encompasses both bits i of subblocks j and j + 1 is negligibly small. Thus correlated fading between these two bits has no signicant impact on performance. For example, the R c = 1=, = 4 convolutional code has d min = 11 [4]. Choosing L N = 5 d min = 55 ensures that bits i in subblocks j and j + 1 are suciently far apart in the code trellis. This is actually smaller than the previously suggested value of 5( + 1)=R c = 75. lock 1 2 Subblock (1,1) Subblock (2,1) Subblock (,1) Subblock (1,2) Subblock (2,2) Subblock (,2) -1 Subblock (-1,1) Subblock (-1,2) Subblock (,1) Subblock (1,1) (2,1) (,1) (,1) (1,2) (-1,N) (,N) Subblock (,2) Subblock (1,N) Subblock (2,N) Subblock (,N) Subblock (-1,N) Subblock (,N) it Input 1 2 L Figure : Enhanced lock Interleaving. N
4 To see the benets of enhanced block coding, consider image transmission over a narrowband Rayleigh fading channel with f D = 10 Hz and C = 64 kbps. For channel coding, we use a rate R c = 1=, = 4 convolutional code, (216; 200) CRC code, and LVA list length L V =. With a delay of T seconds between the transmission of adjacent bits, the fading correlation is suciently low to yield performance close to uncorrelated if f D T 0:8 [1]. A value of f D T = 0:8 corresponds to the rst zero of the correlation function, (t). Solving (1), the 8-bit grayscale Lena image with l = 256 lines and p = 256 pixels per line compressed at a rate of R s = 1:0 bpp requires = 28 blocks per image. Using simple interleaving, the delay between the transmission of adjacent bits is T = T s, resulting in f D T = 0: The fading correlation between adjacent bits is (T s ) = 0:949. Simple interleaving does little to reduce correlation. With enhanced interleaving, we have N = 12 subblocks per block. The delay between adjacent bits increases by a factor of N to T = NT s, resulting in f D T = 0:615. This is sucient for performance close to uncorrelated. The fading correlation is (NT s ) = 0:162. Figure 4 compares the simulated block error probability with simple and enhanced interleaving for R c = 1= and f D = 10 Hz. A block error is dened as the event that a block is incorrectly decoded by the LVA. We see that enhanced interleaving oers a gain of about 2.5 d for a block error probability of 10?4. If we consider a Rayleigh fading channel with f D = 200 Hz, simple interleaving results in f D T = 1:025 which is sucient for performance close to uncorrelated. In this case, enhanced interleaving will not oer any further performance improvement. In general, f D T s < 0:8 oers a situation where enhanced interleaving is superior. Figure 5 compares the simulated block error probability with R c = 4=5 and f D = 10 Hz. Enhanced interleaving provides a gain of 1.5 d for a block error probability of 10?4. There are N = 5 subblocks per block. The resulting correlation with enhanced interleaving is (NT s ) = 0:202 compared to with simple interleaving. IV. Simulation Results For a given RCPC code, we can determine the block error probability, P, over a range of s, through simulation. We wish to nd the block error probability required to meet the outage criterion, P ;req. Without knowledge of whether block errors are correlated or independent, we can apply a simple worst case scenario to nd P ;req such that the outage criterion is guaranteed to be satised. Assuming that each instance of outage is caused by a single block error, we have P ;req = (5) where is the tolerable outage probability. The value of s that corresponds to a block error probability of P ;req is the minimum value for which this RCPC code is guaranteed to satisfy the outage criterion. For example, a tolerable outage probability of = 5% and = 28 results in P ;req = 1:524 10?4. Figure 6 shows the simulated block error probability for all available RCPC code rates over a Rayleigh fading channel with f D = 10 Hz, corresponding to a velocity of 5.4 km/h. We can generate similar sets of curves for dierent Doppler frequencies corresponding to various mobile velocities. From Figure 6, we can formulate a guideline for choosing the appropriate RCPC code rate, R c, as a function of s. This is shown in Table 1. With this particular mother code, it is not possible to satisfy the outage criterion when s < 2:2 d. If s > 11:0 d, we have a good channel in which case the highest rate RCPC code is used. lock Error Probability 10 Simple Interleaving Enhanced Interleaving ) (d) Figure 4: Simple versus enhanced interleaving for R c = 1= and f D = 10 Hz. lock Error Probability 10 Simple Interleaving Enhanced Interleaving ) (d) Figure 5: Simple versus enhanced interleaving for R c = 4=5 and f D = 10 Hz.
5 lock Error Probability 10 Rc = 4/5 Rc = 2/ Rc = 4/7 Rc = 1/2 Rc = 4/9 Rc = 2/5 Rc = 4/11 Rc = 1/ P,req References [1] J.M. Shapiro, \Embedded Image Coding using Zerotrees of Wavelet Coecients," IEEE Trans. Signal Processing, Vol. 41, pp , Dec [2] A. Said, W.A. Pearlman, \A New Fast and Ecient Image Codec ased on Set Partitioning in Hierarchical Trees," IEEE Trans. Circuits Syst. Video Technol., Vol. 6, pp , June [] N. Seshadri, C.-E. W. Sundberg, \List Viterbi Decoding Algorithms with Applications," IEEE Trans. Comm., Vol. 42, pp. 1-2, Feb/March/Apr ) (d) Figure 6: Simulated P for f D = 10 Hz. Table 1: Guidelines for choosing the RCPC code rate. R c s (d) 1/ / / / / / / /5 > 11.0 V. Conclusions We have considered an image transmission system that uses SPIHT wavelet-based source coding, and LVA concatenated channel coding to provide bandwidth ecient, error resilient image transmission. Consistent with wireless communications, we have applied the notion of outage to image transmission. An image is in outage if the received pixel values are not identical to the ones transmitted. An enhanced block interleaving scheme was introduced using a subblock structure to eectively reduce correlation in fading. Using RCPC codes, we devised a variable rate channel coding system based on the current channel state information. Combining enhanced interleaving and variable rate channel coding, we constructed a method to select the highest rate RCPC code that satises the image outage criterion, thus balancing the requirements of high bandwidth eciency and high image quality. [4] J. Hagenauer, \Rate-Compatible Punctured Convolutional Codes (RCPC Codes) and their Applications," IEEE Trans. Comm., Vol. 6, pp , April [5] K. S. Gilhousen, I. M. Jacobs, R. Padovani, A. J. Viterbi, L. A. Weaver, C. E. Wheatley III, \On the Capacity of a Cellular CDMA System," IEEE Trans. Veh. Technol., Vol. 40, pp , May [6] S. Manji, G. Djuknic, \andwidth Ecient and Error Resilient Image Coding for Rayleigh Fading Channels," Proc. IEEE VTC Spring '99, pp , May [7] P.G. Sherwood, K. Zeger, \Progressive Image Coding for Noisy Channels," IEEE Signal Processing Letters, Vol. 4, pp , July [8] G. Castagnoli, J. Ganz, P. Graber, \Optimum Cyclic Redundancy-Check Codes with 16-it Redundancy," IEEE Trans. Comm, Vol. 8, pp , Jan [9] T. Ojanpera, R. Prasad, \An Overview of Third- Generation Wireless Personal Communications: A European Perspective," IEEE Personal Comm., Vol. 5, pp , Dec [10] W.C. Jakes, Microwave Mobile Communications, IEEE Press, [11] W.C.Y. Lee, Mobile Communications Engineering, McGraw-Hill, [12] J.A. Heller, I.M Jacobs, \Viterbi Decoding for Satellite and Space Communication," IEEE Trans. Comm, Vol. COM-19, pp , Oct [1] R. van Nobelen, D.P. Taylor, \Analysis of the Pairwise Error Probability of Noninterleaved Codes on the Rayleigh-Fading Channel," IEEE Trans. Comm, Vol. 44, pp , Apr Acknowledgments Thanks are due to Carl-Erik W. Sundberg and rian Chen for providing a software implementation of the List Viterbi Algorithm.
NUMEROUS elaborate attempts have been made in the
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 46, NO. 12, DECEMBER 1998 1555 Error Protection for Progressive Image Transmission Over Memoryless and Fading Channels P. Greg Sherwood and Kenneth Zeger, Senior
More informationAN UNEQUAL ERROR PROTECTION SCHEME FOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEMS. M. Farooq Sabir, Robert W. Heath and Alan C. Bovik
AN UNEQUAL ERROR PROTECTION SCHEME FOR MULTIPLE INPUT MULTIPLE OUTPUT SYSTEMS M. Farooq Sabir, Robert W. Heath and Alan C. Bovik Dept. of Electrical and Comp. Engg., The University of Texas at Austin,
More informationUnequal Error Protection of Embedded Video Bitstreams
Unequal Error Protection of Embedded Video Bitstreams Sungdae Cho a and William A. Pearlman a a Center for Next Generation Video Department of Electrical, Computer, and Systems Engineering Rensselaer Polytechnic
More informationCOMPRESSION OF DICOM IMAGES BASED ON WAVELETS AND SPIHT FOR TELEMEDICINE APPLICATIONS
COMPRESSION OF IMAGES BASED ON WAVELETS AND FOR TELEMEDICINE APPLICATIONS 1 B. Ramakrishnan and 2 N. Sriraam 1 Dept. of Biomedical Engg., Manipal Institute of Technology, India E-mail: rama_bala@ieee.org
More informationMinimax Disappointment Video Broadcasting
Minimax Disappointment Video Broadcasting DSP Seminar Spring 2001 Leiming R. Qian and Douglas L. Jones http://www.ifp.uiuc.edu/ lqian Seminar Outline 1. Motivation and Introduction 2. Background Knowledge
More informationRobust Joint Source-Channel Coding for Image Transmission Over Wireless Channels
962 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 10, NO. 6, SEPTEMBER 2000 Robust Joint Source-Channel Coding for Image Transmission Over Wireless Channels Jianfei Cai and Chang
More informationDecoder Assisted Channel Estimation and Frame Synchronization
University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange University of Tennessee Honors Thesis Projects University of Tennessee Honors Program Spring 5-2001 Decoder Assisted Channel
More informationUnequal Error Protection Codes for Wavelet Image Transmission over W-CDMA, AWGN and Rayleigh Fading Channels
Unequal Error Protection Codes for Wavelet Image Transmission over W-CDMA, AWGN and Rayleigh Fading Channels MINH H. LE and RANJITH LIYANA-PATHIRANA School of Engineering and Industrial Design College
More informationPerformance Enhancement of Closed Loop Power Control In Ds-CDMA
International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Performance Enhancement of Closed Loop Power Control In Ds-CDMA Devendra Kumar Sougata Ghosh Department Of ECE Department Of ECE
More informationOBJECT-BASED IMAGE COMPRESSION WITH SIMULTANEOUS SPATIAL AND SNR SCALABILITY SUPPORT FOR MULTICASTING OVER HETEROGENEOUS NETWORKS
OBJECT-BASED IMAGE COMPRESSION WITH SIMULTANEOUS SPATIAL AND SNR SCALABILITY SUPPORT FOR MULTICASTING OVER HETEROGENEOUS NETWORKS Habibollah Danyali and Alfred Mertins School of Electrical, Computer and
More informationA New Resource Allocation Scheme Based on a PSNR Criterion for Wireless Video Transmission to Stationary Receivers Over Gaussian Channels
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 1, NO. 3, JULY 2002 393 A New Resource Allocation Scheme Based on a PSNR Criterion for Wireless Video Transmission to Stationary Receivers Over Gaussian
More informationDELTA MODULATION AND DPCM CODING OF COLOR SIGNALS
DELTA MODULATION AND DPCM CODING OF COLOR SIGNALS Item Type text; Proceedings Authors Habibi, A. Publisher International Foundation for Telemetering Journal International Telemetering Conference Proceedings
More informationFRAMES PER MULTIFRAME SLOTS PER TDD - FRAME
MULTI-FRAME PACKET RESERVATION MULTIPLE ACCESS FOR VARIABLE-RATE MULTIMEDIA USERS J. Brecht, L. Hanzo, M. Del Buono Dept. of Electr. and Comp. Sc., Univ. of Southampton, SO17 1BJ, UK. Tel: +-703-93 1,
More informationRate Distortion Performance for Joint Source Channel Coding of JPEG Image Over AWGN Channel
Rate Distortion Performance for Joint Source Channel Coding of JPEG Image Over AWGN Channel Prof. Jigisha N. Patel Assistant Professor, ECED, s v national institute of tech. surat,395007,india Dr Suprava
More informationPerformance of a Low-Complexity Turbo Decoder and its Implementation on a Low-Cost, 16-Bit Fixed-Point DSP
Performance of a ow-complexity Turbo Decoder and its Implementation on a ow-cost, 6-Bit Fixed-Point DSP Ken Gracie, Stewart Crozier, Andrew Hunt, John odge Communications Research Centre 370 Carling Avenue,
More informationRelative frequency. I Frames P Frames B Frames No. of cells
In: R. Puigjaner (ed.): "High Performance Networking VI", Chapman & Hall, 1995, pages 157-168. Impact of MPEG Video Trac on an ATM Multiplexer Oliver Rose 1 and Michael R. Frater 2 1 Institute of Computer
More informationDCT Q ZZ VLC Q -1 DCT Frame Memory
Minimizing the Quality-of-Service Requirement for Real-Time Video Conferencing (Extended abstract) Injong Rhee, Sarah Chodrow, Radhika Rammohan, Shun Yan Cheung, and Vaidy Sunderam Department of Mathematics
More informationVHDL IMPLEMENTATION OF TURBO ENCODER AND DECODER USING LOG-MAP BASED ITERATIVE DECODING
VHDL IMPLEMENTATION OF TURBO ENCODER AND DECODER USING LOG-MAP BASED ITERATIVE DECODING Rajesh Akula, Assoc. Prof., Department of ECE, TKR College of Engineering & Technology, Hyderabad. akula_ap@yahoo.co.in
More informationTERRESTRIAL broadcasting of digital television (DTV)
IEEE TRANSACTIONS ON BROADCASTING, VOL 51, NO 1, MARCH 2005 133 Fast Initialization of Equalizers for VSB-Based DTV Transceivers in Multipath Channel Jong-Moon Kim and Yong-Hwan Lee Abstract This paper
More informationHigher-Order Modulation and Turbo Coding Options for the CDM-600 Satellite Modem
Higher-Order Modulation and Turbo Coding Options for the CDM-600 Satellite Modem * 8-PSK Rate 3/4 Turbo * 16-QAM Rate 3/4 Turbo * 16-QAM Rate 3/4 Viterbi/Reed-Solomon * 16-QAM Rate 7/8 Viterbi/Reed-Solomon
More informationCHAPTER 2 SUBCHANNEL POWER CONTROL THROUGH WEIGHTING COEFFICIENT METHOD
CHAPTER 2 SUBCHANNEL POWER CONTROL THROUGH WEIGHTING COEFFICIENT METHOD 2.1 INTRODUCTION MC-CDMA systems transmit data over several orthogonal subcarriers. The capacity of MC-CDMA cellular system is mainly
More informationRobust Transmission of H.264/AVC Video using 64-QAM and unequal error protection
Robust Transmission of H.264/AVC Video using 64-QAM and unequal error protection Ahmed B. Abdurrhman 1, Michael E. Woodward 1 and Vasileios Theodorakopoulos 2 1 School of Informatics, Department of Computing,
More informationDelay allocation between source buffering and interleaving for wireless video
Shen et al. EURASIP Journal on Wireless Communications and Networking (2016) 2016:209 DOI 10.1186/s13638-016-0703-4 RESEARCH Open Access Delay allocation between source buffering and interleaving for wireless
More informationScalable Foveated Visual Information Coding and Communications
Scalable Foveated Visual Information Coding and Communications Ligang Lu,1 Zhou Wang 2 and Alan C. Bovik 2 1 Multimedia Technologies, IBM T. J. Watson Research Center, Yorktown Heights, NY 10598, USA 2
More informationRobust Transmission of H.264/AVC Video Using 64-QAM and Unequal Error Protection
Robust Transmission of H.264/AVC Video Using 64-QAM and Unequal Error Protection Ahmed B. Abdurrhman, Michael E. Woodward, and Vasileios Theodorakopoulos School of Informatics, Department of Computing,
More informationFPGA Implementation of Convolutional Encoder And Hard Decision Viterbi Decoder
FPGA Implementation of Convolutional Encoder And Hard Decision Viterbi Decoder JTulasi, TVenkata Lakshmi & MKamaraju Department of Electronics and Communication Engineering, Gudlavalleru Engineering College,
More informationCompressed-Sensing-Enabled Video Streaming for Wireless Multimedia Sensor Networks Abstract:
Compressed-Sensing-Enabled Video Streaming for Wireless Multimedia Sensor Networks Abstract: This article1 presents the design of a networked system for joint compression, rate control and error correction
More informationINTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET)
INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 ISSN 0976 6464(Print)
More informationFRAME ERROR RATE EVALUATION OF A C-ARQ PROTOCOL WITH MAXIMUM-LIKELIHOOD FRAME COMBINING
FRAME ERROR RATE EVALUATION OF A C-ARQ PROTOCOL WITH MAXIMUM-LIKELIHOOD FRAME COMBINING Julián David Morillo Pozo and Jorge García Vidal Computer Architecture Department (DAC), Technical University of
More informationEMBEDDED ZEROTREE WAVELET CODING WITH JOINT HUFFMAN AND ARITHMETIC CODING
EMBEDDED ZEROTREE WAVELET CODING WITH JOINT HUFFMAN AND ARITHMETIC CODING Harmandeep Singh Nijjar 1, Charanjit Singh 2 1 MTech, Department of ECE, Punjabi University Patiala 2 Assistant Professor, Department
More informationEnabling Error-Resilient Internet Broadcasting using Motion Compensated Spatial Partitioning and Packet FEC for the Dirac Video Codec
JOURNAL OF MULTIMEDIA, VOL. 3, NO. 2, JUNE 08 1 Enabling Error-Resilient Internet Broadcasting using Motion Compensated Spatial Partitioning and Packet FEC for the Dirac Video Codec M. Tun, K.K. Loo, and
More informationREDUCED-COMPLEXITY DECODING FOR CONCATENATED CODES BASED ON RECTANGULAR PARITY-CHECK CODES AND TURBO CODES
REDUCED-COMPLEXITY DECODING FOR CONCATENATED CODES BASED ON RECTANGULAR PARITY-CHECK CODES AND TURBO CODES John M. Shea and Tan F. Wong University of Florida Department of Electrical and Computer Engineering
More informationJoint source-channel video coding for H.264 using FEC
Department of Information Engineering (DEI) University of Padova Italy Joint source-channel video coding for H.264 using FEC Simone Milani simone.milani@dei.unipd.it DEI-University of Padova Gian Antonio
More informationSchemes for Wireless JPEG2000
Quality Assessment of Error Protection Schemes for Wireless JPEG2000 Muhammad Imran Iqbal and Hans-Jürgen Zepernick Blekinge Institute of Technology Research report No. 2010:04 Quality Assessment of Error
More informationPerformance Improvement of AMBE 3600 bps Vocoder with Improved FEC
Performance Improvement of AMBE 3600 bps Vocoder with Improved FEC Ali Ekşim and Hasan Yetik Center of Research for Advanced Technologies of Informatics and Information Security (TUBITAK-BILGEM) Turkey
More informationFrame Synchronization in Digital Communication Systems
Quest Journals Journal of Software Engineering and Simulation Volume 3 ~ Issue 6 (2017) pp: 06-11 ISSN(Online) :2321-3795 ISSN (Print):2321-3809 www.questjournals.org Research Paper Frame Synchronization
More informationCopyright 2005 IEEE. Reprinted from IEEE Transactions on Circuits and Systems for Video Technology, 2005; 15 (6):
Copyright 2005 IEEE. Reprinted from IEEE Transactions on Circuits and Systems for Video Technology, 2005; 15 (6):762-770 This material is posted here with permission of the IEEE. Such permission of the
More informationTransmission System for ISDB-S
Transmission System for ISDB-S HISAKAZU KATOH, SENIOR MEMBER, IEEE Invited Paper Broadcasting satellite (BS) digital broadcasting of HDTV in Japan is laid down by the ISDB-S international standard. Since
More informationFast MBAFF/PAFF Motion Estimation and Mode Decision Scheme for H.264
Fast MBAFF/PAFF Motion Estimation and Mode Decision Scheme for H.264 Ju-Heon Seo, Sang-Mi Kim, Jong-Ki Han, Nonmember Abstract-- In the H.264, MBAFF (Macroblock adaptive frame/field) and PAFF (Picture
More informationMULTI-STATE VIDEO CODING WITH SIDE INFORMATION. Sila Ekmekci Flierl, Thomas Sikora
MULTI-STATE VIDEO CODING WITH SIDE INFORMATION Sila Ekmekci Flierl, Thomas Sikora Technical University Berlin Institute for Telecommunications D-10587 Berlin / Germany ABSTRACT Multi-State Video Coding
More informationSkip Length and Inter-Starvation Distance as a Combined Metric to Assess the Quality of Transmitted Video
Skip Length and Inter-Starvation Distance as a Combined Metric to Assess the Quality of Transmitted Video Mohamed Hassan, Taha Landolsi, Husameldin Mukhtar, and Tamer Shanableh College of Engineering American
More informationAUDIOVISUAL COMMUNICATION
AUDIOVISUAL COMMUNICATION Laboratory Session: Recommendation ITU-T H.261 Fernando Pereira The objective of this lab session about Recommendation ITU-T H.261 is to get the students familiar with many aspects
More informationConstant Bit Rate for Video Streaming Over Packet Switching Networks
International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Constant Bit Rate for Video Streaming Over Packet Switching Networks Mr. S. P.V Subba rao 1, Y. Renuka Devi 2 Associate professor
More informationModeling and Optimization of a Systematic Lossy Error Protection System based on H.264/AVC Redundant Slices
Modeling and Optimization of a Systematic Lossy Error Protection System based on H.264/AVC Redundant Slices Shantanu Rane, Pierpaolo Baccichet and Bernd Girod Information Systems Laboratory, Department
More informationVideo Transmission. Thomas Wiegand: Digital Image Communication Video Transmission 1. Transmission of Hybrid Coded Video. Channel Encoder.
Video Transmission Transmission of Hybrid Coded Video Error Control Channel Motion-compensated Video Coding Error Mitigation Scalable Approaches Intra Coding Distortion-Distortion Functions Feedback-based
More informationSystematic Lossy Forward Error Protection for Error-Resilient Digital Video Broadcasting
Systematic Lossy Forward Error Protection for Error-Resilient Digital Broadcasting Shantanu Rane, Anne Aaron and Bernd Girod Information Systems Laboratory, Stanford University, Stanford, CA 94305 {srane,amaaron,bgirod}@stanford.edu
More informationVideo Over Mobile Networks
Video Over Mobile Networks Professor Mohammed Ghanbari Department of Electronic systems Engineering University of Essex United Kingdom June 2005, Zadar, Croatia (Slides prepared by M. Mahdi Ghandi) INTRODUCTION
More informationInvestigation of the Effectiveness of Turbo Code in Wireless System over Rician Channel
International Journal of Networks and Communications 2015, 5(3): 46-53 DOI: 10.5923/j.ijnc.20150503.02 Investigation of the Effectiveness of Turbo Code in Wireless System over Rician Channel Zachaeus K.
More informationOptimum Frame Synchronization for Preamble-less Packet Transmission of Turbo Codes
! Optimum Frame Synchronization for Preamble-less Packet Transmission of Turbo Codes Jian Sun and Matthew C. Valenti Wireless Communications Research Laboratory Lane Dept. of Comp. Sci. & Elect. Eng. West
More informationImplementation of CRC and Viterbi algorithm on FPGA
Implementation of CRC and Viterbi algorithm on FPGA S. V. Viraktamath 1, Akshata Kotihal 2, Girish V. Attimarad 3 1 Faculty, 2 Student, Dept of ECE, SDMCET, Dharwad, 3 HOD Department of E&CE, Dayanand
More informationResearch Article. ISSN (Print) *Corresponding author Shireen Fathima
Scholars Journal of Engineering and Technology (SJET) Sch. J. Eng. Tech., 2014; 2(4C):613-620 Scholars Academic and Scientific Publisher (An International Publisher for Academic and Scientific Resources)
More informationDual Frame Video Encoding with Feedback
Video Encoding with Feedback Athanasios Leontaris and Pamela C. Cosman Department of Electrical and Computer Engineering University of California, San Diego, La Jolla, CA 92093-0407 Email: pcosman,aleontar
More informationImplementation and performance analysis of convolution error correcting codes with code rate=1/2.
2016 International Conference on Micro-Electronics and Telecommunication Engineering Implementation and performance analysis of convolution error correcting codes with code rate=1/2. Neha Faculty of engineering
More informationAn Efficient Low Bit-Rate Video-Coding Algorithm Focusing on Moving Regions
1128 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 11, NO. 10, OCTOBER 2001 An Efficient Low Bit-Rate Video-Coding Algorithm Focusing on Moving Regions Kwok-Wai Wong, Kin-Man Lam,
More informationChannel models for high-capacity information hiding in images
Channel models for high-capacity information hiding in images Johann A. Briffa a, Manohar Das b School of Engineering and Computer Science Oakland University, Rochester MI 48309 ABSTRACT We consider the
More informationImpact of scan conversion methods on the performance of scalable. video coding. E. Dubois, N. Baaziz and M. Matta. INRS-Telecommunications
Impact of scan conversion methods on the performance of scalable video coding E. Dubois, N. Baaziz and M. Matta INRS-Telecommunications 16 Place du Commerce, Verdun, Quebec, Canada H3E 1H6 ABSTRACT The
More informationBit Rate Control for Video Transmission Over Wireless Networks
Indian Journal of Science and Technology, Vol 9(S), DOI: 0.75/ijst/06/v9iS/05, December 06 ISSN (Print) : 097-686 ISSN (Online) : 097-5 Bit Rate Control for Video Transmission Over Wireless Networks K.
More informationWyner-Ziv Coding of Motion Video
Wyner-Ziv Coding of Motion Video Anne Aaron, Rui Zhang, and Bernd Girod Information Systems Laboratory, Department of Electrical Engineering Stanford University, Stanford, CA 94305 {amaaron, rui, bgirod}@stanford.edu
More informationImplementation of a turbo codes test bed in the Simulink environment
University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 2005 Implementation of a turbo codes test bed in the Simulink environment
More informationResearch Topic. Error Concealment Techniques in H.264/AVC for Wireless Video Transmission in Mobile Networks
Research Topic Error Concealment Techniques in H.264/AVC for Wireless Video Transmission in Mobile Networks July 22 nd 2008 Vineeth Shetty Kolkeri EE Graduate,UTA 1 Outline 2. Introduction 3. Error control
More informationCERIAS Tech Report Preprocessing and Postprocessing Techniques for Encoding Predictive Error Frames in Rate Scalable Video Codecs by E
CERIAS Tech Report 2001-118 Preprocessing and Postprocessing Techniques for Encoding Predictive Error Frames in Rate Scalable Video Codecs by E Asbun, P Salama, E Delp Center for Education and Research
More informationSystematic Lossy Error Protection of Video based on H.264/AVC Redundant Slices
Systematic Lossy Error Protection of based on H.264/AVC Redundant Slices Shantanu Rane and Bernd Girod Information Systems Laboratory Stanford University, Stanford, CA 94305. {srane,bgirod}@stanford.edu
More informationJoint Optimization of Source-Channel Video Coding Using the H.264/AVC encoder and FEC Codes. Digital Signal and Image Processing Lab
Joint Optimization of Source-Channel Video Coding Using the H.264/AVC encoder and FEC Codes Digital Signal and Image Processing Lab Simone Milani Ph.D. student simone.milani@dei.unipd.it, Summer School
More informationWYNER-ZIV VIDEO CODING WITH LOW ENCODER COMPLEXITY
WYNER-ZIV VIDEO CODING WITH LOW ENCODER COMPLEXITY (Invited Paper) Anne Aaron and Bernd Girod Information Systems Laboratory Stanford University, Stanford, CA 94305 {amaaron,bgirod}@stanford.edu Abstract
More informationPart 2.4 Turbo codes. p. 1. ELEC 7073 Digital Communications III, Dept. of E.E.E., HKU
Part 2.4 Turbo codes p. 1 Overview of Turbo Codes The Turbo code concept was first introduced by C. Berrou in 1993. The name was derived from an iterative decoding algorithm used to decode these codes
More informationINTRA-FRAME WAVELET VIDEO CODING
INTRA-FRAME WAVELET VIDEO CODING Dr. T. Morris, Mr. D. Britch Department of Computation, UMIST, P. O. Box 88, Manchester, M60 1QD, United Kingdom E-mail: t.morris@co.umist.ac.uk dbritch@co.umist.ac.uk
More informationdata and is used in digital networks and storage devices. CRC s are easy to implement in binary
Introduction Cyclic redundancy check (CRC) is an error detecting code designed to detect changes in transmitted data and is used in digital networks and storage devices. CRC s are easy to implement in
More information1 Introduction to PSQM
A Technical White Paper on Sage s PSQM Test Renshou Dai August 7, 2000 1 Introduction to PSQM 1.1 What is PSQM test? PSQM stands for Perceptual Speech Quality Measure. It is an ITU-T P.861 [1] recommended
More informationCOMP 249 Advanced Distributed Systems Multimedia Networking. Video Compression Standards
COMP 9 Advanced Distributed Systems Multimedia Networking Video Compression Standards Kevin Jeffay Department of Computer Science University of North Carolina at Chapel Hill jeffay@cs.unc.edu September,
More informationII. SYSTEM MODEL In a single cell, an access point and multiple wireless terminals are located. We only consider the downlink
Subcarrier allocation for variable bit rate video streams in wireless OFDM systems James Gross, Jirka Klaue, Holger Karl, Adam Wolisz TU Berlin, Einsteinufer 25, 1587 Berlin, Germany {gross,jklaue,karl,wolisz}@ee.tu-berlin.de
More informationSPIHT-NC: Network-Conscious Zerotree Encoding
SPIHT-NC: Network-Conscious Zerotree Encoding Sami Iren Paul D. Amer GTE Laboratories Incorporated Computer and Information Sciences Department Waltham, MA 02451-1128 USA University of Delaware, Newark,
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ISCAS.2005.
Wang, D., Canagarajah, CN., & Bull, DR. (2005). S frame design for multiple description video coding. In IEEE International Symposium on Circuits and Systems (ISCAS) Kobe, Japan (Vol. 3, pp. 19 - ). Institute
More informationFig 1. Flow Chart for the Encoder
MATLAB Simulation of the DVB-S Channel Coding and Decoding Tejas S. Chavan, V. S. Jadhav MAEER S Maharashtra Institute of Technology, Kothrud, Pune, India Department of Electronics & Telecommunication,Pune
More informationPerformance Evaluation of Error Resilience Techniques in H.264/AVC Standard
Performance Evaluation of Error Resilience Techniques in H.264/AVC Standard Ram Narayan Dubey Masters in Communication Systems Dept of ECE, IIT-R, India Varun Gunnala Masters in Communication Systems Dept
More informationReal Time PQoS Enhancement of IP Multimedia Services Over Fading and Noisy DVB-T Channel
Real Time PQoS Enhancement of IP Multimedia Services Over Fading and Noisy DVB-T Channel H. Koumaras (1), E. Pallis (2), G. Gardikis (1), A. Kourtis (1) (1) Institute of Informatics and Telecommunications
More informationA LOW COST TRANSPORT STREAM (TS) GENERATOR USED IN DIGITAL VIDEO BROADCASTING EQUIPMENT MEASUREMENTS
A LOW COST TRANSPORT STREAM (TS) GENERATOR USED IN DIGITAL VIDEO BROADCASTING EQUIPMENT MEASUREMENTS Radu Arsinte Technical University Cluj-Napoca, Faculty of Electronics and Telecommunication, Communication
More informationAnalysis of Video Transmission over Lossy Channels
1012 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 18, NO. 6, JUNE 2000 Analysis of Video Transmission over Lossy Channels Klaus Stuhlmüller, Niko Färber, Member, IEEE, Michael Link, and Bernd
More informationSatellite Digital Broadcasting Systems
Technologies and Services of Digital Broadcasting (11) Satellite Digital Broadcasting Systems "Technologies and Services of Digital Broadcasting" (in Japanese, ISBN4-339-01162-2) is published by CORONA
More informationWITH the rapid development of high-fidelity video services
896 IEEE SIGNAL PROCESSING LETTERS, VOL. 22, NO. 7, JULY 2015 An Efficient Frame-Content Based Intra Frame Rate Control for High Efficiency Video Coding Miaohui Wang, Student Member, IEEE, KingNgiNgan,
More informationAdaptive Key Frame Selection for Efficient Video Coding
Adaptive Key Frame Selection for Efficient Video Coding Jaebum Jun, Sunyoung Lee, Zanming He, Myungjung Lee, and Euee S. Jang Digital Media Lab., Hanyang University 17 Haengdang-dong, Seongdong-gu, Seoul,
More informationDWT Based-Video Compression Using (4SS) Matching Algorithm
DWT Based-Video Compression Using (4SS) Matching Algorithm Marwa Kamel Hussien Dr. Hameed Abdul-Kareem Younis Assist. Lecturer Assist. Professor Lava_85K@yahoo.com Hameedalkinani2004@yahoo.com Department
More informationError Performance Analysis of a Concatenated Coding Scheme with 64/256-QAM Trellis Coded Modulation for the North American Cable Modem Standard
Error Performance Analysis of a Concatenated Coding Scheme with 64/256-QAM Trellis Coded Modulation for the North American Cable Modem Standard Dojun Rhee and Robert H. Morelos-Zaragoza LSI Logic Corporation
More informationVERY low bit-rate video coding has triggered intensive. Significance-Linked Connected Component Analysis for Very Low Bit-Rate Wavelet Video Coding
630 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 9, NO. 4, JUNE 1999 Significance-Linked Connected Component Analysis for Very Low Bit-Rate Wavelet Video Coding Jozsef Vass, Student
More informationError Resilience for Compressed Sensing with Multiple-Channel Transmission
Journal of Information Hiding and Multimedia Signal Processing c 2015 ISSN 2073-4212 Ubiquitous International Volume 6, Number 5, September 2015 Error Resilience for Compressed Sensing with Multiple-Channel
More informationRobust 3-D Video System Based on Modified Prediction Coding and Adaptive Selection Mode Error Concealment Algorithm
International Journal of Signal Processing Systems Vol. 2, No. 2, December 2014 Robust 3-D Video System Based on Modified Prediction Coding and Adaptive Selection Mode Error Concealment Algorithm Walid
More informationOFDM-Based Turbo-Coded Hierarchical and Non-Hierarchical Terrestrial Mobile Digital Video Broadcasting
IEEE TRANSACTIONS ON BROADCASTING, VOL. 46, NO. 1, MARCH 2000 1 OFDM-Based Turbo-Coded Hierarchical and Non-Hierarchical Terrestrial Mobile Digital Video Broadcasting Chee-Siong Lee, Thoandmas Keller,
More informationTitle: Lucent Technologies TDMA Half Rate Speech Codec
UWCC.GTF.HRP..0.._ Title: Lucent Technologies TDMA Half Rate Speech Codec Source: Michael D. Turner Nageen Himayat James P. Seymour Andrea M. Tonello Lucent Technologies Lucent Technologies Lucent Technologies
More informationAn Implementation of a Forward Error Correction Technique using Convolution Encoding with Viterbi Decoding
An Implementation of a Forward Error Correction Technique using Convolution Encoding with Viterbi Decoding Himmat Lal Kumawat, Sandhya Sharma Abstract This paper, as the name suggests, shows the working
More informationP SNR r,f -MOS r : An Easy-To-Compute Multiuser
P SNR r,f -MOS r : An Easy-To-Compute Multiuser Perceptual Video Quality Measure Jing Hu, Sayantan Choudhury, and Jerry D. Gibson Abstract In this paper, we propose a new statistical objective perceptual
More informationReview paper on study of various Interleavers and their significance
Review paper on study of various Interleavers and their significance Bobby Raje 1, Karuna Markam 2 1,2Department of Electronics, M.I.T.S, Gwalior, India ---------------------------------------------------------------------------------***------------------------------------------------------------------------------------
More informationDigital Video Telemetry System
Digital Video Telemetry System Item Type text; Proceedings Authors Thom, Gary A.; Snyder, Edwin Publisher International Foundation for Telemetering Journal International Telemetering Conference Proceedings
More informationAN IMPROVED ERROR CONCEALMENT STRATEGY DRIVEN BY SCENE MOTION PROPERTIES FOR H.264/AVC DECODERS
AN IMPROVED ERROR CONCEALMENT STRATEGY DRIVEN BY SCENE MOTION PROPERTIES FOR H.264/AVC DECODERS Susanna Spinsante, Ennio Gambi, Franco Chiaraluce Dipartimento di Elettronica, Intelligenza artificiale e
More informationRegion Adaptive Unsharp Masking based DCT Interpolation for Efficient Video Intra Frame Up-sampling
International Conference on Electronic Design and Signal Processing (ICEDSP) 0 Region Adaptive Unsharp Masking based DCT Interpolation for Efficient Video Intra Frame Up-sampling Aditya Acharya Dept. of
More informationDesign Project: Designing a Viterbi Decoder (PART I)
Digital Integrated Circuits A Design Perspective 2/e Jan M. Rabaey, Anantha Chandrakasan, Borivoje Nikolić Chapters 6 and 11 Design Project: Designing a Viterbi Decoder (PART I) 1. Designing a Viterbi
More informationThe transmission of MPEG-2 VBR video under usage parameter control
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS Int. J. Commun. Syst. 2001; 14:125}146 The transmission of MPEG-2 VBR video under usage parameter control Lou Wenjing, Chia Liang Tien*, Lee Bu Sung and Wang
More informationEXPERIMENTAL RESULTS OF MPEG-2 CODED VIDEO TRANSMISSION OVER A NOISY SATELLITE LINK *
EXPERIMENTAL RESULTS OF MPEG- CODED VIDEO TRANSMISSION OVER A NOISY SATELLITE LINK * Nedo Celandroni #, Erina Ferro #, Francesco Potortì # Antonio Chimienti^, Maurizio Lucenteforte^ # CNUCE, Institute
More informationDICOM medical image watermarking of ECG signals using EZW algorithm. A. Kannammal* and S. Subha Rani
126 Int. J. Medical Engineering and Informatics, Vol. 5, No. 2, 2013 DICOM medical image watermarking of ECG signals using EZW algorithm A. Kannammal* and S. Subha Rani ECE Department, PSG College of Technology,
More informationPrinciples of Video Compression
Principles of Video Compression Topics today Introduction Temporal Redundancy Reduction Coding for Video Conferencing (H.261, H.263) (CSIT 410) 2 Introduction Reduce video bit rates while maintaining an
More informationPattern Smoothing for Compressed Video Transmission
Pattern for Compressed Transmission Hugh M. Smith and Matt W. Mutka Department of Computer Science Michigan State University East Lansing, MI 48824-1027 {smithh,mutka}@cps.msu.edu Abstract: In this paper
More informationA Novel Approach towards Video Compression for Mobile Internet using Transform Domain Technique
A Novel Approach towards Video Compression for Mobile Internet using Transform Domain Technique Dhaval R. Bhojani Research Scholar, Shri JJT University, Jhunjunu, Rajasthan, India Ved Vyas Dwivedi, PhD.
More information