EE 350. Continuous-Time Linear Systems. Recitation 2. 1
|
|
- Peter Sparks
- 5 years ago
- Views:
Transcription
1 EE 350 Continuous-Time Linear Systems Recitation 2 Recitation 2. 1
2 Recitation 2 Topics MATLAB Programming Vector Manipulation Built-in Housekeeping Functions Solved Problems Classification of Signals Basic Signal Operations Recitation 2. 2
3 Vector Manipulation Elements are accessed by specifying an index ranging from 1 to the number of elements in the vector Display elements 2 through 3 of vector >> x = [2, 4, 6, 8]; >> x(2:3) ans = 4 6 Delete elements 2 through 3 >> x = [2, 4, 6, 8]; >> x(2:3) = [] ans = 2 8 Recitation 2. 3
4 Vector Manipulation Display the last two elements of the vector x >> x = [2, 4, 6, 8]; >> x(end-1 : end) ans = 6 8 Display every other element starting with the first element of x >> x = [2, 4, 6, 8]; >> x(1 : 2 : end) ans = 2 6 Recitation 2. 4
5 Vector Functions in MATLAB Operation length of vector x; returns the number of elements Function length(x) size of vector x; returns the number of rows and columns size(x) transpose of x x largest element in x max(x) smallest element in x min(x) sum of elements in vector x sum(x) indices of nonzero elements find(x) indices of elements in a specified range find(x>3) first n indices corresponding to the nonzero elements in x find(x, n) Last n indices corresponding to the nonzero elements in x find(x, n, last ) Recitation 2. 5
6 Problem 1 For the vector x = -4 : 2 : 10, use MATLAB to determine 1. length(x) 2. size(x) 3. x 4. size(x ) 5. min(x) 6. max(x) 7. sum(x) 8. find(x) 9. find(x < 0) 10. find(x,3) 11. find(x,3, last ) Recitation 2. 6
7 Housekeeping Functions Operation lists variables currently in the workspace lists variables currently in the workspace with their size clear all variables from the workspace clear command window, cursor moves to the top clear the current figure window close the current figure window close all the figure windows Function who whos clear clc clf close close all Recitation 2. 7
8 Problem 2 The response of system to a unit-step input is often characterized by the rise-time, which is the time for the output to rise from 10% to 90% of its final value Write an m-file that determines the rise-time of t yt () 1 e t 0 Recitation 2. 8
9 Problem 2 The m-file must Clear the workspace and command window, and close open figures Generate a time vector t of 1000 points uniformly spaced between 0 and 10 Generate a vector y whose elements represent the values of the response at the time instants in t Numerically determine the rise-time using find Plot y versus t, and in the legend, specify the rise-time use the strcat and num2str functions Recitation 2. 9
10 Problem 2 Recitation 2. 10
11 Problem 2 Recitation 2. 11
12 Problem 3 Consider the signal t f() t eu( t) 1. Sketch f(t) 2. Classify f(t) as a causal or noncausal signal 3. Is f(t) either an even or odd function? 4. Is f(t) periodic or aperiodic? 5. Is f(t) an energy signal? If so, determine the energy metric E f 6. What is P f, the power of the signal f(t)? Recitation 2. 12
13 Problem 3 Solution Recitation 2. 13
14 Problem 3 Solution Recitation 2. 14
15 Problem 3 Solution Recitation 2. 15
16 Problem 4 Consider the signal n f( t) 5 u( t 10n 2) u(t 10n 2) n 1. Sketch f(t) 2. Classify f(t) as a causal or noncausal signal 3. Is f(t) either an even or odd function? 4. Is f(t) periodic or aperiodic? If periodic, what is the fundamental period? 5. Is f(t) an energy signal? If so, determine the energy metric E f 6. Is f(t) a power signal? If so, determine the power metric P f Recitation 2. 16
17 Problem 4 Solution Recitation 2. 17
18 Problem 4 Solution Recitation 2. 18
19 Problem 4 Solution Recitation 2. 19
20 Problem 5 Express the signal f(t) as the sum of even and odd functions f t e u t f t f t -t () () e() o() where f() t f( t) f() t f( t) fe( t) and fo( t) Verify, for an arbitrary f(t), that the functions f e (t) and f o (t) are even and odd functions, respectively 2. Determine expressions for f e (t) and f o (t) for the given f(t) 3. Sketch f(t), f e (t) and f o (t) Recitation 2. 20
21 Problem 5 Solution Recitation 2. 21
22 Problem 5 Solution Recitation 2. 22
23 Problem 5 Solution Recitation 2. 23
24 Problem 6 Consider the signal shown below f () t t 1. Find an expression for f(t) 2. Sketch the following signals: f(t-1), 2f(t+1), f(t/3), f(-t), f(1-t) Recitation 2. 24
25 Problem 6 Solution Recitation 2. 25
26 Problem 6 Solution Recitation 2. 26
27 Problem 6 Solution Recitation 2. 27
28 EE 350 Continuous-Time Linear Systems Recitation 2 Recitation 2. 1
29 Recitation 2 Topics MATLAB Programming Vector Manipulation Built-in Housekeeping Functions Solved Problems Classification of Signals Basic Signal Operations Recitation 2. 2
30 Vector Manipulation Elements are accessed by specifying an index ranging from 1 to the number of elements in the vector Display elements 2 through 3 of vector Delete elements 2 through 3 Recitation 2. 3
31 Vector Manipulation Display the last two elements of the vector x Display every other element starting with the first element of x Recitation 2. 4
32 Vector Functions in MATLAB Operation length of vector x; returns the number of elements Function length(x) size of vector x; returns the number of rows and columns size(x) transpose of x x largest element in x max(x) smallest element in x min(x) sum of elements in vector x sum(x) indices of nonzero elements find(x) indices of elements in a specified range find(x>3) first n indices corresponding to the nonzero elements in x find(x, n) Last n indices corresponding to the nonzero elements in x find(x, n, last ) Recitation 2. 5
33 Problem 1 For the vector x = -4 : 2 : 10, use MATLAB to determine 1. length(x) 2. size(x) 3. x 4. size(x ) 5. min(x) 6. max(x) 7. sum(x) 8. find(x) 9. find(x < 0) 10. find(x,3) 11. find(x,3, last ) Recitation 2. 6
34 Housekeeping Functions Operation lists variables currently in the workspace lists variables currently in the workspace with their size clear all variables from the workspace clear command window, cursor moves to the top clear the current figure window close the current figure window close all the figure windows Function who whos clear clc clf close close all Recitation 2. 7
35 Problem 2 The response of system to a unit-step input is often characterized by the rise-time, which is the time for the output to rise from 10% to 90% of its final value Write an m-file that determines the rise-time of Recitation 2. 8
36 Problem 2 The m-file must Clear the workspace and command window, and close open figures Generate a time vector t of 1000 points uniformly spaced between 0 and 10 Generate a vector y whose elements represent the values of the response at the time instants in t Numerically determine the rise-time using find Plot y versus t, and in the legend, specify the rise-time use the strcat and num2str functions Recitation 2. 9
37 Problem 2 Recitation 2. 10
38 Problem 2 Recitation 2. 11
39 Problem 3 Consider the signal 1. Sketch f(t) 2. Classify f(t) as a causal or noncausal signal 3. Is f(t) either an even or odd function? 4. Is f(t) periodic or aperiodic? 5. Is f(t) an energy signal? If so, determine the energy metric E f 6. What is P f, the power of the signal f(t)? Recitation 2. 12
40 Problem 3 Solution Recitation 2. 13
41 Problem 3 Solution Recitation 2. 14
42 Problem 3 Solution Recitation 2. 15
43 Problem 4 Consider the signal 1. Sketch f(t) 2. Classify f(t) as a causal or noncausal signal 3. Is f(t) either an even or odd function? 4. Is f(t) periodic or aperiodic? If periodic, what is the fundamental period? 5. Is f(t) an energy signal? If so, determine the energy metric E f 6. Is f(t) a power signal? If so, determine the power metric P f Recitation 2. 16
44 Problem 4 Solution Recitation 2. 17
45 Problem 4 Solution Recitation 2. 18
46 Problem 4 Solution Recitation 2. 19
47 Problem 5 Express the signal f(t) as the sum of even and odd functions 1. Verify, for an arbitrary f(t), that the functions f e (t) and f o (t) are even and odd functions, respectively 2. Determine expressions for f e (t) and f o (t) for the given f(t) 3. Sketch f(t), f e (t) and f o (t) Recitation 2. 20
48 Problem 5 Solution Recitation 2. 21
49 Problem 5 Solution Recitation 2. 22
50 Problem 5 Solution Recitation 2. 23
51 Problem 6 Consider the signal shown below 1. Find an expression for f(t) 2. Sketch the following signals: f(t-1), 2f(t+1), f(t/3), f(-t), f(1-t) Recitation 2. 24
52 Problem 6 Solution Recitation 2. 25
53 Problem 6 Solution Recitation 2. 26
54 Problem 6 Solution Recitation 2. 27
Problem Weight Score Total 100
EE 350 Exam # 1 25 September 2014 Last Name (Print): First Name (Print): ID number (Last 4 digits): Section: DO NOT TURN THIS PAGE UNTIL YOU ARE TOLD TO DO SO Problem Weight Score 1 25 2 25 3 25 4 25 Total
More informationHandout 1 - Introduction to plots in Matlab 7
SPHSC 53 Speech Signal Processing UW Summer 6 Handout - Introduction to plots in Matlab 7 Signal analysis is an important part of signal processing. And signal analysis is not complete without signal visualization.
More informationCommon Spatial Patterns 3 class BCI V Copyright 2012 g.tec medical engineering GmbH
g.tec medical engineering GmbH Sierningstrasse 14, A-4521 Schiedlberg Austria - Europe Tel.: (43)-7251-22240-0 Fax: (43)-7251-22240-39 office@gtec.at, http://www.gtec.at Common Spatial Patterns 3 class
More informationLab P-6: Synthesis of Sinusoidal Signals A Music Illusion. A k cos.! k t C k / (1)
DSP First, 2e Signal Processing First Lab P-6: Synthesis of Sinusoidal Signals A Music Illusion Pre-Lab: Read the Pre-Lab and do all the exercises in the Pre-Lab section prior to attending lab. Verification:
More informationCommon Spatial Patterns 2 class BCI V Copyright 2012 g.tec medical engineering GmbH
g.tec medical engineering GmbH Sierningstrasse 14, A-4521 Schiedlberg Austria - Europe Tel.: (43)-7251-22240-0 Fax: (43)-7251-22240-39 office@gtec.at, http://www.gtec.at Common Spatial Patterns 2 class
More informationProblem Weight Total 100
EE 350 Problem Set 4 Cover Sheet Fall 2016 Last Name (Print): First Name (Print): ID number (Last 4 digits): Section: Submission deadlines: Turn in the written solutions by 4:00 pm on Tuesday October 4
More informationGraphical Displays of Univariate Data
. Chapter 1 Graphical Displays of Univariate Data Topic 2 covers sorting data and constructing Stemplots and Dotplots, Topic 3 Histograms, and Topic 4 Frequency Plots. (Note: Boxplots are a graphical display
More informationECE438 - Laboratory 1: Discrete and Continuous-Time Signals
Purdue University: ECE438 - Digital Signal Processing with Applications 1 ECE438 - Laboratory 1: Discrete and Continuous-Time Signals By Prof. Charles Bouman and Prof. Mireille Boutin Fall 2015 1 Introduction
More informationNormalization Methods for Two-Color Microarray Data
Normalization Methods for Two-Color Microarray Data 1/13/2009 Copyright 2009 Dan Nettleton What is Normalization? Normalization describes the process of removing (or minimizing) non-biological variation
More informationProceedings of the Third International DERIVE/TI-92 Conference
Description of the TI-92 Plus Module Doing Advanced Mathematics with the TI-92 Plus Module Carl Leinbach Gettysburg College Bert Waits Ohio State University leinbach@cs.gettysburg.edu waitsb@math.ohio-state.edu
More informationUNIVERSITY OF BAHRAIN COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
UNIVERSITY OF BAHRAIN COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING EENG 373: DIGITAL COMMUNICATIONS EXPERIMENT NO. 3 BASEBAND DIGITAL TRANSMISSION Objective This experiment
More informationLaboratory Assignment 3. Digital Music Synthesis: Beethoven s Fifth Symphony Using MATLAB
Laboratory Assignment 3 Digital Music Synthesis: Beethoven s Fifth Symphony Using MATLAB PURPOSE In this laboratory assignment, you will use MATLAB to synthesize the audio tones that make up a well-known
More informationProblem Set #1 Problem Set Due: Friday, April 12
1 EE102B Pring 2018-19 Signal Processing and Linear Systems II Pauly Problem Set #1 Problem Set Due: Friday, April 12 In the following problems, assume that δ T (t) = δ(t nt ) n = is an infinite array
More informationOutline. Why do we classify? Audio Classification
Outline Introduction Music Information Retrieval Classification Process Steps Pitch Histograms Multiple Pitch Detection Algorithm Musical Genre Classification Implementation Future Work Why do we classify
More informationStimulus presentation using Matlab and Visage
Stimulus presentation using Matlab and Visage Cambridge Research Systems Visual Stimulus Generator ViSaGe Programmable hardware and software system to present calibrated stimuli using a PC running Windows
More informationEE373B Project Report Can we predict general public s response by studying published sales data? A Statistical and adaptive approach
EE373B Project Report Can we predict general public s response by studying published sales data? A Statistical and adaptive approach Song Hui Chon Stanford University Everyone has different musical taste,
More informationCourse Web site:
The University of Texas at Austin Spring 2018 EE 445S Real- Time Digital Signal Processing Laboratory Prof. Evans Solutions for Homework #1 on Sinusoids, Transforms and Transfer Functions 1. Transfer Functions.
More informationAudio Processing Exercise
Name: Date : Audio Processing Exercise In this exercise you will learn to load, playback, modify, and plot audio files. Commands for loading and characterizing an audio file To load an audio file (.wav)
More informationUsing Multiple DMs for Increased Spatial Frequency Response
AN: Multiple DMs for Increased Spatial Frequency Response Using Multiple DMs for Increased Spatial Frequency Response AN Author: Justin Mansell Revision: // Abstract Some researchers have come to us suggesting
More informationDepartment of CSIT. Class: B.SC Semester: II Year: 2013 Paper Title: Introduction to logics of Computer Max Marks: 30
Department of CSIT Class: B.SC Semester: II Year: 2013 Paper Title: Introduction to logics of Computer Max Marks: 30 Section A: (All 10 questions compulsory) 10X1=10 Very Short Answer Questions: Write
More informationE X P E R I M E N T 1
E X P E R I M E N T 1 Getting to Know Data Studio Produced by the Physics Staff at Collin College Copyright Collin College Physics Department. All Rights Reserved. University Physics, Exp 1: Getting to
More informationCSE 166: Image Processing. Overview. Representing an image. What is an image? History. What is image processing? Today. Image Processing CSE 166
CSE 166: Image Processing Overview Image Processing CSE 166 Today Course overview Logistics Some mathematics MATLAB Lectures will be boardwork and slides Take written notes or take pictures of the board
More informationMATH& 146 Lesson 11. Section 1.6 Categorical Data
MATH& 146 Lesson 11 Section 1.6 Categorical Data 1 Frequency The first step to organizing categorical data is to count the number of data values there are in each category of interest. We can organize
More informationDigital Image and Fourier Transform
Lab 5 Numerical Methods TNCG17 Digital Image and Fourier Transform Sasan Gooran (Autumn 2009) Before starting this lab you are supposed to do the preparation assignments of this lab. All functions and
More informationECE 45 Homework 2. t x(τ)dτ. Problem 2.2 Find the Bode plot (magnitude and phase) and label all critical points of the transfer function
UC San Diego Spring 2018 ECE 45 Homework 2 Problem 2.1 Are the following systems linear? Are they time invariant? (a) x(t) [ System (a)] 2x(t 3) (b) x(t) [ System (b)] x(t)+t (c) x(t) [ System (c)] (x(t)+1)
More informationDiscrete-time equivalent systems example from matlab: the c2d command
Discrete-time equivalent systems example from matlab: the cd command Create the -time system using the tf command and then generate the discrete-time equivalents using the cd command. We use this command
More informationPreface 11 Key Concept 1: Know your machine from a programmer s viewpoint 17
Table of contents Preface 11 Prerequisites 11 Basic machining practice experience 11 Math 12 Motivation 12 Controls covered 12 What about conversational controls? 13 Controls other than Fanuc 13 Limitations
More informationMC9211 Computer Organization
MC9211 Computer Organization Unit 2 : Combinational and Sequential Circuits Lesson2 : Sequential Circuits (KSB) (MCA) (2009-12/ODD) (2009-10/1 A&B) Coverage Lesson2 Outlines the formal procedures for the
More informationCOGS 119/219 MATLAB for Experimental Research. Fall 2017 Image Processing in Matlab
COGS 119/219 MATLAB for Experimental Research Fall 2017 Image Processing in Matlab What is an image? An image is an array, or a matrix of square pixels (picture elements) arranged in rows and columns.
More informationAN INTEGRATED MATLAB SUITE FOR INTRODUCTORY DSP EDUCATION. Richard Radke and Sanjeev Kulkarni
SPE Workshop October 15 18, 2000 AN INTEGRATED MATLAB SUITE FOR INTRODUCTORY DSP EDUCATION Richard Radke and Sanjeev Kulkarni Department of Electrical Engineering Princeton University Princeton, NJ 08540
More information1 Lesson 11: Antiderivatives of Elementary Functions
1 Lesson 11: Antiderivatives of Elementary Functions Chapter 6 Material: pages 237-252 in the textbook: The material in this lesson covers The definition of the antiderivative of a function of one variable.
More informationFast Ethernet Consortium Clause 25 PMD-EEE Conformance Test Suite v1.1 Report
Fast Ethernet Consortium Clause 25 PMD-EEE Conformance Test Suite v1.1 Report UNH-IOL 121 Technology Drive, Suite 2 Durham, NH 03824 +1-603-862-0090 Consortium Manager: Peter Scruton pjs@iol.unh.edu +1-603-862-4534
More informationSection 6.8 Synthesis of Sequential Logic Page 1 of 8
Section 6.8 Synthesis of Sequential Logic Page of 8 6.8 Synthesis of Sequential Logic Steps:. Given a description (usually in words), develop the state diagram. 2. Convert the state diagram to a next-state
More informationDisplay Lists in R. Paul Murrell and Ross Ihaka. February The University of Auckland
Paul Murrell and Ross Ihaka The University of Auckland February 16 2007 What is a Display List? A display list is a record of the graphics commands used to create a drawing. It is not a backing store.
More informationBite Size Brownies. Designed by: Jonathan Thompson George Mason University, COMPLETE Math
Bite Size Brownies Designed by: Jonathan Thompson George Mason University, COMPLETE Math The Task Mr. Brown E. Pan recently opened a new business making brownies called The Brown E. Pan. On his first day
More informationAlgebra I Module 2 Lessons 1 19
Eureka Math 2015 2016 Algebra I Module 2 Lessons 1 19 Eureka Math, Published by the non-profit Great Minds. Copyright 2015 Great Minds. No part of this work may be reproduced, distributed, modified, sold,
More informationMusic BCI ( )
Music BCI (006-2015) Matthias Treder, Benjamin Blankertz Technische Universität Berlin, Berlin, Germany September 5, 2016 1 Introduction We investigated the suitability of musical stimuli for use in a
More informationFrom Fourier Series to Analysis of Non-stationary Signals - X
From Fourier Series to Analysis of Non-stationary Signals - X prof. Miroslav Vlcek December 12, 217 Contents 1 Nonstationary Signals and Analysis 2 Introduction to Wavelets 3 A note to your compositions
More informationSIPROTEC Fault Record Analysis SIGRA
Preface SIPROTEC Fault Record Analysis SIGRA V4.58 Manual Contents System Overview 1 Operating Functions 2 Fault Records 3 SIPROTEC Records 4 Views / Diagrams / Signals / Tables 5 Calculations/Definitions
More informationTempo Estimation and Manipulation
Hanchel Cheng Sevy Harris I. Introduction Tempo Estimation and Manipulation This project was inspired by the idea of a smart conducting baton which could change the sound of audio in real time using gestures,
More informationTopic: Instructional David G. Thomas December 23, 2015
Procedure to Setup a 3ɸ Linear Motor This is a guide to configure a 3ɸ linear motor using either analog or digital encoder feedback with an Elmo Gold Line drive. Topic: Instructional David G. Thomas December
More informationCITATION METRICS WORKSHOP (WEB of SCIENCE)
CITATION METRICS WORKSHOP (WEB of SCIENCE) BASIC LEVEL: Searching Indexed Works Only Prepared by Bibliometric Team, NUS Libraries, Apr 2018 Section Description Pages I Citation Searching of Indexed Works
More informationCHAPTER 4: Logic Circuits
CHAPTER 4: Logic Circuits II. Sequential Circuits Combinational circuits o The outputs depend only on the current input values o It uses only logic gates, decoders, multiplexers, ALUs Sequential circuits
More informationCPSC 121: Models of Computation. Module 1: Propositional Logic
CPSC 121: Models of Computation Module 1: Propositional Logic Module 1: Propositional Logic By the start of the class, you should be able to: Translate back and forth between simple natural language statements
More informationChapter 1. Introduction to Digital Signal Processing
Chapter 1 Introduction to Digital Signal Processing 1. Introduction Signal processing is a discipline concerned with the acquisition, representation, manipulation, and transformation of signals required
More informationENGIN 100: Music Signal Processing. PROJECT #1: Tone Synthesizer/Transcriber
ENGIN 100: Music Signal Processing 1 PROJECT #1: Tone Synthesizer/Transcriber Professor Andrew E. Yagle Dept. of EECS, The University of Michigan, Ann Arbor, MI 48109-2122 I. ABSTRACT This project teaches
More informationElasticity Imaging with Ultrasound JEE 4980 Final Report. George Michaels and Mary Watts
Elasticity Imaging with Ultrasound JEE 4980 Final Report George Michaels and Mary Watts University of Missouri, St. Louis Washington University Joint Engineering Undergraduate Program St. Louis, Missouri
More informationLab 5 Linear Predictive Coding
Lab 5 Linear Predictive Coding 1 of 1 Idea When plain speech audio is recorded and needs to be transmitted over a channel with limited bandwidth it is often necessary to either compress or encode the audio
More informationInteractive Methods in Multiobjective Optimization 1: An Overview
Interactive Methods in Multiobjective Optimization 1: An Overview Department of Mathematical Information Technology, University of Jyväskylä, Finland Table of Contents 1 General Properties of Interactive
More informationEE 200 Problem Set 3 Cover Sheet Fall 2015
EE 200 Problem Set 3 Cover Sheet Fall 2015 Last Name (Print): First Name (Print): PSU User ID (e.g. xyz1234): Section: Submission deadline: All work is due by Monday 21 September at 4 pm. Written work
More informationAgilent PN Time-Capture Capabilities of the Agilent Series Vector Signal Analyzers Product Note
Agilent PN 89400-10 Time-Capture Capabilities of the Agilent 89400 Series Vector Signal Analyzers Product Note Figure 1. Simplified block diagram showing basic signal flow in the Agilent 89400 Series VSAs
More informationFrequencies. Chapter 2. Descriptive statistics and charts
An analyst usually does not concentrate on each individual data values but would like to have a whole picture of how the variables distributed. In this chapter, we will introduce some tools to tabulate
More informationRelease Year Prediction for Songs
Release Year Prediction for Songs [CSE 258 Assignment 2] Ruyu Tan University of California San Diego PID: A53099216 rut003@ucsd.edu Jiaying Liu University of California San Diego PID: A53107720 jil672@ucsd.edu
More informationWord 2003 Class Project. Page numbering and page breaking
Word 2003 Class Project Page numbering and page breaking 1. Open document c:\data\word 2003 Student Start Document. 2. Page 1 Title Page a. Increase the size and boldness of the following title of the
More information1. Track Ball, Paddle and Count How Many Times Ball Hits Paddle in Video Game
1. Track Ball, Paddle and Count How Many Times Ball Hits Paddle in Video Game Your program needs to track the ball (or balls) and the paddle in each of the video game frame sequences below. The program
More information4.4 The FFT and MATLAB
4.4. THE FFT AND MATLAB 69 4.4 The FFT and MATLAB 4.4.1 The FFT and MATLAB MATLAB implements the Fourier transform with the following functions: fft, ifft, fftshift, ifftshift, fft2, ifft2. We describe
More informationFundamentals of DSP Chap. 1: Introduction
Fundamentals of DSP Chap. 1: Introduction Chia-Wen Lin Dept. CSIE, National Chung Cheng Univ. Chiayi, Taiwan Office: 511 Phone: #33120 Digital Signal Processing Signal Processing is to study how to represent,
More informationGS Bloch Equations Simulator 1. GS Introduction to Medical Physics IV Exercise 1: Discrete Subjects
GS02-1193 Bloch Equations Simulator 1 GS02-1193 Introduction to Medical Physics IV Exercise 1: Discrete Subjects Once SpinWright is running, select the Subject tab. The GUI display toward the top of the
More informationThe XYZ Colour Space. 26 January 2011 WHITE PAPER. IMAGE PROCESSING TECHNIQUES
www.omnitek.tv IMAE POESSIN TEHNIQUES The olour Space The colour space has the unique property of being able to express every colour that the human eye can see which in turn means that it can express every
More informationDot Plots and Distributions
EXTENSION Dot Plots and Distributions A dot plot is a data representation that uses a number line and x s, dots, or other symbols to show frequency. Dot plots are sometimes called line plots. E X A M P
More informationBrain-Computer Interface (BCI)
Brain-Computer Interface (BCI) Christoph Guger, Günter Edlinger, g.tec Guger Technologies OEG Herbersteinstr. 60, 8020 Graz, Austria, guger@gtec.at This tutorial shows HOW-TO find and extract proper signal
More information[FILE] INDEX BY NUMBER MANUALS
05 April, 2018 [FILE] INDEX BY NUMBER MANUALS Document Filetype: PDF 499.62 KB 0 [FILE] INDEX BY NUMBER MANUALS Answer : An index number is a statistical device that is used to measure the changes in the
More informationWhite Paper. Uniform Luminance Technology. What s inside? What is non-uniformity and noise in LCDs? Why is it a problem? How is it solved?
White Paper Uniform Luminance Technology What s inside? What is non-uniformity and noise in LCDs? Why is it a problem? How is it solved? Tom Kimpe Manager Technology & Innovation Group Barco Medical Imaging
More information1 Overview. 1.1 Digital Images GEORGIA INSTITUTE OF TECHNOLOGY. ECE 2026 Summer 2016 Lab #6: Sampling: A/D and D/A & Aliasing
GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL and COMPUTER ENGINEERING ECE 2026 Summer 2016 Lab #6: Sampling: A/D and D/A & Aliasing Date: 30 June 2016 Pre-Lab: You should read the Pre-Lab section
More informationDigital Signal Processing Lecture One Introduction to Digital Signal Processing Third Stage Prepared by: Marwah Kareem
Lecture One Introduction to Digital Signal Processing Third Stage Prepared by: Marwah Kareem Digital Signal Processing Digital signal processing (DSP) technology and its advancements have dramatically
More informationOptical Technologies Micro Motion Absolute, Technology Overview & Programming
Optical Technologies Micro Motion Absolute, Technology Overview & Programming TN-1003 REV 180531 THE CHALLENGE When an incremental encoder is turned on, the device needs to report accurate location information
More information2. Document setup: The full physical page size including all margins will be 148mm x 210mm The five sets of margins
Submission Guidelines Please use this section as a guideline for preparing your manuscript. This set of guidelines (updated November 2007) replaces all previously issued guidelines. Please ensure that
More informationVISSIM Tutorial. Starting VISSIM and Opening a File CE 474 8/31/06
VISSIM Tutorial Starting VISSIM and Opening a File Click on the Windows START button, go to the All Programs menu and find the PTV_Vision directory. Start VISSIM by selecting the executable file. The following
More informationMODFLOW - Grid Approach
GMS 7.0 TUTORIALS MODFLOW - Grid Approach 1 Introduction Two approaches can be used to construct a MODFLOW simulation in GMS: the grid approach and the conceptual model approach. The grid approach involves
More informationMATLAB Basics 6 plotting
1 MATLAB Basics 6 plotting Anthony Rossiter University of Sheffield For a neat organisation of all videos and resources http://controleducation.group.shef.ac.uk/indexwebbook.html Introduction 2 1. The
More information2018 ncode User Group Meeting
2018 ncode User Group Meeting February 28 March 1, 2018 Novi, MI USA What s New in ncode 2018 (GlyphWorks and VibeSys) Fred Kihm Product Manager ncode ncode Product Range 4 ncode Product Range 5 ncode
More informationLecture 11 Practice III
Lecture 11 Practice III Example 1 Write a program that reads an array of temperature values in Celsius and compute the corresponding temperatures in Fahrenheit and Kelvin. The program shows the results
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 informationGoogle Scholar and ISI WoS Author metrics within Earth Sciences subjects. Susanne Mikki Bergen University Library
Google Scholar and ISI WoS Author metrics within Earth Sciences subjects Susanne Mikki Bergen University Library My first steps within bibliometry Research question How well is Google Scholar performing
More informationMelody Extraction from Generic Audio Clips Thaminda Edirisooriya, Hansohl Kim, Connie Zeng
Melody Extraction from Generic Audio Clips Thaminda Edirisooriya, Hansohl Kim, Connie Zeng Introduction In this project we were interested in extracting the melody from generic audio files. Due to the
More informationv. 8.0 GMS 8.0 Tutorial MODFLOW Grid Approach Build a MODFLOW model on a 3D grid Prerequisite Tutorials None Time minutes
v. 8.0 GMS 8.0 Tutorial Build a MODFLOW model on a 3D grid Objectives The grid approach to MODFLOW pre-processing is described in this tutorial. In most cases, the conceptual model approach is more powerful
More informationLab experience 1: Introduction to LabView
Lab experience 1: Introduction to LabView LabView is software for the real-time acquisition, processing and visualization of measured data. A LabView program is called a Virtual Instrument (VI) because
More informationCURIE Day 3: Frequency Domain Images
CURIE Day 3: Frequency Domain Images Curie Academy, July 15, 2015 NAME: NAME: TA SIGN-OFFS Exercise 7 Exercise 13 Exercise 17 Making 8x8 pictures Compressing a grayscale image Satellite image debanding
More informationTransform Coding of Still Images
Transform Coding of Still Images February 2012 1 Introduction 1.1 Overview A transform coder consists of three distinct parts: The transform, the quantizer and the source coder. In this laboration you
More informationEE 367 Lab Part 1: Sequential Logic
EE367: Introduction to Microprocessors Section 1.0 EE 367 Lab Part 1: Sequential Logic Contents 1 Preface 1 1.1 Things you need to do before arriving in the Laboratory............... 2 1.2 Summary of material
More informationEnvironmental Controls Laboratory
(Electro-Oculography Application) Introduction Spinal cord injury, cerebral palsy, and stroke are some examples of clinical problems which can have a large effect on upper extremity motor control for afflicted
More informationDSP First Lab 04: Synthesis of Sinusoidal Signals - Music Synthesis
DSP First Lab 04: Synthesis of Sinusoidal Signals - Music Synthesis Pre-Lab and Warm-Up: You should read at least the Pre-Lab and Warm-up sections of this lab assignment and go over all exercises in the
More informationNENS 230 Assignment #2 Data Import, Manipulation, and Basic Plotting
NENS 230 Assignment #2 Data Import, Manipulation, and Basic Plotting Compound Action Potential Due: Tuesday, October 6th, 2015 Goals Become comfortable reading data into Matlab from several common formats
More informationFigure 1: Feature Vector Sequence Generator block diagram.
1 Introduction Figure 1: Feature Vector Sequence Generator block diagram. We propose designing a simple isolated word speech recognition system in Verilog. Our design is naturally divided into two modules.
More informationSignals And Systems Roberts 2ed Solution Manual
We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with signals and systems
More informationSimple applications of neural nets. Character recognition. CIS 412 Artificial Intelligence, Dr. Iren Valova, UMASS Dartmouth
Simple applications of neural nets 1 Character recognition 2 Character recognition 3 Backpropagation issues 4 Backpropagation issues 5 Demonstration - classification of crabs 6 In this demo, we will train
More informationHow To Remove Page Number From First Two Pages In Word 2007
How To Remove Page Number From First Two Pages In Word 2007 How to Number Pages in Your Thesis with Word - YouTube 5. Word: Insert Page Word 2007. I need to number page 1 to 7 in roman numerals (starting
More informationPackage schoenberg. June 26, 2018
Type Package Title Tools for 12-Tone Musical Composition Version 2.0.2 Date 2018-06-26 Author Jeffrey A. Dahlke Package schoenberg June 26, 2018 Maintainer Jeffrey A. Dahlke
More informationEE292: Fundamentals of ECE
EE292: Fundamentals of ECE Fall 2012 TTh 10:00-11:15 SEB 1242 Lecture 23 121120 http://www.ee.unlv.edu/~b1morris/ee292/ 2 Outline Review Combinatorial Logic Sequential Logic 3 Combinatorial Logic Circuits
More informationHidden Markov Model based dance recognition
Hidden Markov Model based dance recognition Dragutin Hrenek, Nenad Mikša, Robert Perica, Pavle Prentašić and Boris Trubić University of Zagreb, Faculty of Electrical Engineering and Computing Unska 3,
More informationCHAPTER 4: Logic Circuits
CHAPTER 4: Logic Circuits II. Sequential Circuits Combinational circuits o The outputs depend only on the current input values o It uses only logic gates, decoders, multiplexers, ALUs Sequential circuits
More informationCluster Analysis of Internet Users Based on Hourly Traffic Utilization
Cluster Analysis of Internet Users Based on Hourly Traffic Utilization M. Rosário de Oliveira, Rui Valadas, António Pacheco, Paulo Salvador Instituto Superior Técnico - UTL Department of Mathematics and
More informationNH 67, Karur Trichy Highways, Puliyur C.F, Karur District UNIT-III SEQUENTIAL CIRCUITS
NH 67, Karur Trichy Highways, Puliyur C.F, 639 114 Karur District DEPARTMENT OF ELETRONICS AND COMMUNICATION ENGINEERING COURSE NOTES SUBJECT: DIGITAL ELECTRONICS CLASS: II YEAR ECE SUBJECT CODE: EC2203
More informationNorth Carolina Standard Course of Study - Mathematics
A Correlation of To the North Carolina Standard Course of Study - Mathematics Grade 4 A Correlation of, Grade 4 Units Unit 1 - Arrays, Factors, and Multiplicative Comparison Unit 2 - Generating and Representing
More informationAcoustic Echo Canceling: Echo Equality Index
Acoustic Echo Canceling: Echo Equality Index Mengran Du, University of Maryalnd Dr. Bogdan Kosanovic, Texas Instruments Industry Sponsored Projects In Research and Engineering (INSPIRE) Maryland Engineering
More informationFor an alphabet, we can make do with just { s, 0, 1 }, in which for typographic simplicity, s stands for the blank space.
Problem 1 (A&B 1.1): =================== We get to specify a few things here that are left unstated to begin with. I assume that numbers refers to nonnegative integers. I assume that the input is guaranteed
More informationCSE 101. Algorithm Design and Analysis Miles Jones Office 4208 CSE Building Lecture 9: Greedy
CSE 101 Algorithm Design and Analysis Miles Jones mej016@eng.ucsd.edu Office 4208 CSE Building Lecture 9: Greedy GENERAL PROBLEM SOLVING In general, when you try to solve a problem, you are trying to find
More informationTrial version. Analogue to Digital Conversion in Distance Measurement
Analogue to Digital Conversion in Distance Measurement How is an analogue to digital conversion of a distance measurement made and how accurate is it? Analogue to Digital Conversion in Distance Measurement
More informationMoving on from MSTAT. March The University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID
Moving on from MSTAT March 2000 The University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID Contents 1. Introduction 3 2. Moving from MSTAT to Genstat 4 2.1 Analysis
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 information