A New Twist to Fourier Transforms

Size: px
Start display at page:

Download "A New Twist to Fourier Transforms"

Transcription

1 Hamish D. Meikle A New Twist to Fourier Transforms WILEY VCH WILEY-VCH Verlag GmbH &, Co. KGaA

2 Table ofcontents 1 The Fourier Transform and the Helix Fourier Transform Conventions Fourier Transforms in Physics Fourier Transform in Electrical Engineering Fourier Transform in Statistics The FourierTransform and the Helical Functions Radar and Sonar Echo Signals Colour Television Signals Modulation and Demodulation Communications Circularly PolarisedWaves Noise Other Forms ofthe Fourier Transform 8 2 Spiral and Helical Functions Complex Arithmetic Unary Operations Vector Addition and Subtraction Vector Multiplication Division Powers of Vectors Unbalanced Polyphase Voltages and Currents 18 3 Fourier Transforms From Fourier Series to Fourier Transform Fourier Series Period ofintegration for a Fourier Series Fourier Transform Inverse Transform Three ofthe Conventions for FourierTransforms Fourier Transforms and Spatial Spirals Properties offourier Transforms Addition, Subtraction, and Scaling- Linearity 34 A New 7Mst to rourier 7iansform. Hamish D. Meilde Copyright 2004 WILLYVCH Verlag GmbH &Co.KGM, Weinheim ISBN : ,4

3 Vlll I Table ofcontents Multiplication oftransforms Division Differentiation Moments Special Functions used for Fourier Transforms Summary offouriertransform Properties Examples of Fourier Transforms Cosine and Sine Waveforms Rectangular Pulse Triangular Pulse Ramp Pulse Gaussian Pulse Unequally Spaced Samples 60 4 Continuous, Finite, and Discrete Fourier Transforms Finite Fourier Transforms -Limited in Time or Space Discrete Fourier Transforms Cyclic Nature of Discrete Transforms Other Forms ofthe Discrete FourierTransform Summary of Properties Sampling Sampling Errors Sampling of Polyphase Voltages Examples of Discrete Fourier Transforms Finite Impulse Response Filters and Antennae The z-transform S Inverse Fourier Transforms, a Lowpass Filter inverse Fourier Transforms, a Highpass Filter Inverse Fourier Transforms, Bandpass and Bandstop Filters Arrays of Sensors, Linear Antennae Pattern Synthesis, the Woodward-Levinson Sampling Method Conversion of Analogue Signals to Digital Words 93 4,5.1 Dynamic Range Dynamic Range in Vector Systems 93 4,5.3 Quantisation Noise 95 4,5.4 Conversion Errors 95 4,5.5 Image Frequency or Negative Phase Sequence Component Power 97 5 Tapering Functions Conventions and Normalisation Parameters used with Tapering Functions Parameters A and C Efficiency Parameter n Noise Width Half-power Width 102

4 Table ofcontents I IX Parameters D and G Root Mean Square (rms) Width in Terms ofp' Root Mean Square (rms) Width in Terms of q' First Sidelobe or Sideband Height Fall-off Scalloping and Worst Case Processing Losses 104 5,2.11 Spectral Leakage or Two-tone Characteristics Other names for tapering functions Tapering Functions Trapezoidal Tapering (1-- 4p'2)n Tapering Cosine to the Power tt Tapering Cosine on a Pedestal Tapering Hamming, Blackman, and Blackman-Harris Tapering Truncated Gaussian tapering Dolph-Chebyshev Tapering with 10 Discrete Samples Taylor Tapering FourierTransforms in Statistics Basic Statistics Higher Moments Moment Generating Functions Properties of Characteristic Functions Linearity--Addition, Subtraction, and Scaling Multiplication Characteristic Functions ofsome Continuous Distributions Uniform Distribution Gaussian or Normal Distribution Family Cauchy Distribution Gamma Family ,5 Beta Family Weibull Distribution Characteristic Functions ofsome Discrete Distributions Binomial Distribution ,2 Hypergeometric Distribution Pascal, Negative Binomial, and Geometric Distributions ,4 Poisson Distribution An Example from Operational Research Noise and Pseudo-random Signals The Fourier Transform of Noise Optimum Filtering of Signals and Noise Auto- and Cross-correlation Functions Pseudo-random Signals Example of the Convolution of Radar Echo Signals and Noise 195

5 X I Table of Contents False Alarm probability with NNoise Samples Probability o Detection with Signal Plus Noise 197 Appendix A Glossary 203 Appendix B Maple Graphical Expressions 209 B.1 Fourier Transforms 209 B.2 Plotting Expressions Time Plot Frequency Plot, Spectrum, or Characteristic Function combined Plots 213 B.2.4 Exporting Plots 213 B.2.5 Stereographic Pairs 213 B.3 Other Types ofplots in Three Dimensions 214 Index 217

Filter structures ELEC-E5410

Filter structures ELEC-E5410 Filter structures ELEC-E5410 Contents FIR filter basics Ideal impulse responses Polyphase decomposition Fractional delay by polyphase structure Nyquist filters Half-band filters Gibbs phenomenon Discrete-time

More information

Syllabus for IMGS-616 Fourier Methods in Imaging (RIT #11857) Week 1: 8/26, 8/28 Week 2: 9/2, 9/4

Syllabus for IMGS-616 Fourier Methods in Imaging (RIT #11857)  Week 1: 8/26, 8/28 Week 2: 9/2, 9/4 IMGS 616-20141 p.1 Syllabus for IMGS-616 Fourier Methods in Imaging (RIT #11857) 3 July 2014 (TENTATIVE and subject to change) Note that I expect to be in Europe twice during the term: in Paris the week

More information

Statistical and Adaptive Signal Processing

Statistical and Adaptive Signal Processing r Statistical and Adaptive Signal Processing Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing Dimitris G. Manolakis Massachusetts Institute of Technology Lincoln Laboratory

More information

MATLAB Signal Processing Toolbox. Greg Reese, Ph.D Research Computing Support Group Academic Technology Services Miami University

MATLAB Signal Processing Toolbox. Greg Reese, Ph.D Research Computing Support Group Academic Technology Services Miami University MATLAB Signal Processing Toolbox Greg Reese, Ph.D Research Computing Support Group Academic Technology Services Miami University October 2013 MATLAB Signal Processing Toolbox 2013 Greg Reese. All rights

More information

LINEAR-PHASE FIR FILTERS DESIGN

LINEAR-PHASE FIR FILTERS DESIGN LINEAR-PHASE FIR FILTERS DESIGN Prof. Siripong Potisuk inimum-phase Filters A digital filter is a minimum-phase filter if and only if all of its zeros lie inside or on the unit circle; otherwise, it is

More information

Spherical Trigonometry

Spherical Trigonometry Rigid Body Mechanics William B. Heard 2006 WILEY-VCH Verlag GmbH & Co. 213 Appendix A Spherical Trigonometry This brief account of spherical trigonometry is included to make the treatment of composition

More information

Hilbert Transforms in Signal Processing

Hilbert Transforms in Signal Processing Hilbert Transforms in Signal Processing Stefan L. Hahn Artech House Boston London Contents Preface xiii Introduction 1 Chapter 1 Theory of the One-Dimensional Hilbert Transformation 3 1.1 The Concepts

More information

The Selection of Weighting Functions For Linear Arrays Using Different Techniques

The Selection of Weighting Functions For Linear Arrays Using Different Techniques The Selection of Weighting Functions For Linear Arrays Using Different Techniques Dr. S. Ravishankar H. V. Kumaraswamy B. D. Satish 17 Apr 2007 Rajarshi Shahu College of Engineering National Conference

More information

Malvin H. Kalos, Paula A. Whitlock. Monte Carlo Methods. Second Revised and Enlarged Edition WILEY- BLACKWELL. WILEY-VCH Verlag GmbH & Co.

Malvin H. Kalos, Paula A. Whitlock. Monte Carlo Methods. Second Revised and Enlarged Edition WILEY- BLACKWELL. WILEY-VCH Verlag GmbH & Co. Malvin H. Kalos, Paula A. Whitlock Monte Carlo Methods Second Revised and Enlarged Edition WILEY- BLACKWELL WILEY-VCH Verlag GmbH & Co. KGaA v I Contents Preface to the Second Edition IX Preface to the

More information

CAM Ph.D. Qualifying Exam in Numerical Analysis CONTENTS

CAM Ph.D. Qualifying Exam in Numerical Analysis CONTENTS CAM Ph.D. Qualifying Exam in Numerical Analysis CONTENTS Preliminaries Round-off errors and computer arithmetic, algorithms and convergence Solutions of Equations in One Variable Bisection method, fixed-point

More information

DISCRETE-TIME SIGNAL PROCESSING

DISCRETE-TIME SIGNAL PROCESSING THIRD EDITION DISCRETE-TIME SIGNAL PROCESSING ALAN V. OPPENHEIM MASSACHUSETTS INSTITUTE OF TECHNOLOGY RONALD W. SCHÄFER HEWLETT-PACKARD LABORATORIES Upper Saddle River Boston Columbus San Francisco New

More information

Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes Applied Probability and Stochastic Processes In Engineering and Physical Sciences MICHEL K. OCHI University of Florida A Wiley-Interscience Publication JOHN WILEY & SONS New York - Chichester Brisbane

More information

Continuous and Discrete Time Signals and Systems

Continuous and Discrete Time Signals and Systems Continuous and Discrete Time Signals and Systems Mrinal Mandal University of Alberta, Edmonton, Canada and Amir Asif York University, Toronto, Canada CAMBRIDGE UNIVERSITY PRESS Contents Preface Parti Introduction

More information

Radar Systems Engineering Lecture 3 Review of Signals, Systems and Digital Signal Processing

Radar Systems Engineering Lecture 3 Review of Signals, Systems and Digital Signal Processing Radar Systems Engineering Lecture Review of Signals, Systems and Digital Signal Processing Dr. Robert M. O Donnell Guest Lecturer Radar Systems Course Review Signals, Systems & DSP // Block Diagram of

More information

Responses of Digital Filters Chapter Intended Learning Outcomes:

Responses of Digital Filters Chapter Intended Learning Outcomes: Responses of Digital Filters Chapter Intended Learning Outcomes: (i) Understanding the relationships between impulse response, frequency response, difference equation and transfer function in characterizing

More information

(Refer Slide Time: 01:28 03:51 min)

(Refer Slide Time: 01:28 03:51 min) Digital Signal Processing Prof. S. C. Dutta Roy Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture 40 FIR Design by Windowing This is the 40 th lecture and our topic for

More information

Filter Analysis and Design

Filter Analysis and Design Filter Analysis and Design Butterworth Filters Butterworth filters have a transfer function whose squared magnitude has the form H a ( jω ) 2 = 1 ( ) 2n. 1+ ω / ω c * M. J. Roberts - All Rights Reserved

More information

Adaptive Filtering. Squares. Alexander D. Poularikas. Fundamentals of. Least Mean. with MATLABR. University of Alabama, Huntsville, AL.

Adaptive Filtering. Squares. Alexander D. Poularikas. Fundamentals of. Least Mean. with MATLABR. University of Alabama, Huntsville, AL. Adaptive Filtering Fundamentals of Least Mean Squares with MATLABR Alexander D. Poularikas University of Alabama, Huntsville, AL CRC Press Taylor & Francis Croup Boca Raton London New York CRC Press is

More information

STOCHASTIC PROBABILITY THEORY PROCESSES. Universities Press. Y Mallikarjuna Reddy EDITION

STOCHASTIC PROBABILITY THEORY PROCESSES. Universities Press. Y Mallikarjuna Reddy EDITION PROBABILITY THEORY STOCHASTIC PROCESSES FOURTH EDITION Y Mallikarjuna Reddy Department of Electronics and Communication Engineering Vasireddy Venkatadri Institute of Technology, Guntur, A.R < Universities

More information

Advanced Digital Signal Processing -Introduction

Advanced Digital Signal Processing -Introduction Advanced Digital Signal Processing -Introduction LECTURE-2 1 AP9211- ADVANCED DIGITAL SIGNAL PROCESSING UNIT I DISCRETE RANDOM SIGNAL PROCESSING Discrete Random Processes- Ensemble Averages, Stationary

More information

Computer Engineering 4TL4: Digital Signal Processing

Computer Engineering 4TL4: Digital Signal Processing Computer Engineering 4TL4: Digital Signal Processing Day Class Instructor: Dr. I. C. BRUCE Duration of Examination: 3 Hours McMaster University Final Examination December, 2003 This examination paper includes

More information

Index. p, lip, 78 8 function, 107 v, 7-8 w, 7-8 i,7-8 sine, 43 Bo,94-96

Index. p, lip, 78 8 function, 107 v, 7-8 w, 7-8 i,7-8 sine, 43 Bo,94-96 p, lip, 78 8 function, 107 v, 7-8 w, 7-8 i,7-8 sine, 43 Bo,94-96 B 1,94-96 M,94-96 B oro!' 94-96 BIro!' 94-96 I/r, 79 2D linear system, 56 2D FFT, 119 2D Fourier transform, 1, 12, 18,91 2D sinc, 107, 112

More information

Digital Signal Processing Prof. T. K. Basu Department of Electrical Engineering Indian Institute of Technology, Kharagpur

Digital Signal Processing Prof. T. K. Basu Department of Electrical Engineering Indian Institute of Technology, Kharagpur Digital Signal Processing Prof. T. K. Basu Department of Electrical Engineering Indian Institute of Technology, Kharagpur Lecture - 6 Z-Transform (Contd.) Discussing about inverse inverse Z transform,

More information

A SIGNAL THEORETIC INTRODUCTION TO RANDOM PROCESSES

A SIGNAL THEORETIC INTRODUCTION TO RANDOM PROCESSES A SIGNAL THEORETIC INTRODUCTION TO RANDOM PROCESSES ROY M. HOWARD Department of Electrical Engineering & Computing Curtin University of Technology Perth, Australia WILEY CONTENTS Preface xiii 1 A Signal

More information

Review of Fundamentals of Digital Signal Processing

Review of Fundamentals of Digital Signal Processing Solution Manual for Theory and Applications of Digital Speech Processing by Lawrence Rabiner and Ronald Schafer Click here to Purchase full Solution Manual at http://solutionmanuals.info Link download

More information

Statistical Methods in HYDROLOGY CHARLES T. HAAN. The Iowa State University Press / Ames

Statistical Methods in HYDROLOGY CHARLES T. HAAN. The Iowa State University Press / Ames Statistical Methods in HYDROLOGY CHARLES T. HAAN The Iowa State University Press / Ames Univariate BASIC Table of Contents PREFACE xiii ACKNOWLEDGEMENTS xv 1 INTRODUCTION 1 2 PROBABILITY AND PROBABILITY

More information

Optics, Light and Lasers

Optics, Light and Lasers Dieter Meschede Optics, Light and Lasers The Practical Approach to Modern Aspects of Photonics and Laser Physics Second, Revised and Enlarged Edition BICENTENNIAL.... n 4 '':- t' 1 8 0 7 $W1LEY 2007 tri

More information

Course Name: Digital Signal Processing Course Code: EE 605A Credit: 3

Course Name: Digital Signal Processing Course Code: EE 605A Credit: 3 Course Name: Digital Signal Processing Course Code: EE 605A Credit: 3 Prerequisites: Sl. No. Subject Description Level of Study 01 Mathematics Fourier Transform, Laplace Transform 1 st Sem, 2 nd Sem 02

More information

Probability and Statistics for Final Year Engineering Students

Probability and Statistics for Final Year Engineering Students Probability and Statistics for Final Year Engineering Students By Yoni Nazarathy, Last Updated: May 24, 2011. Lecture 6p: Spectral Density, Passing Random Processes through LTI Systems, Filtering Terms

More information

Filter Banks II. Prof. Dr.-Ing. G. Schuller. Fraunhofer IDMT & Ilmenau University of Technology Ilmenau, Germany

Filter Banks II. Prof. Dr.-Ing. G. Schuller. Fraunhofer IDMT & Ilmenau University of Technology Ilmenau, Germany Filter Banks II Prof. Dr.-Ing. G. Schuller Fraunhofer IDMT & Ilmenau University of Technology Ilmenau, Germany Page Modulated Filter Banks Extending the DCT The DCT IV transform can be seen as modulated

More information

Continuous-Time Fourier Transform

Continuous-Time Fourier Transform Signals and Systems Continuous-Time Fourier Transform Chang-Su Kim continuous time discrete time periodic (series) CTFS DTFS aperiodic (transform) CTFT DTFT Lowpass Filtering Blurring or Smoothing Original

More information

Figure 1.1 (a) Model of a communication system, and (b) signal processing functions.

Figure 1.1 (a) Model of a communication system, and (b) signal processing functions. . Introduction to Signals and Operations Model of a Communication System [] Figure. (a) Model of a communication system, and (b) signal processing functions. Classification of Signals. Continuous-time

More information

L6: Short-time Fourier analysis and synthesis

L6: Short-time Fourier analysis and synthesis L6: Short-time Fourier analysis and synthesis Overview Analysis: Fourier-transform view Analysis: filtering view Synthesis: filter bank summation (FBS) method Synthesis: overlap-add (OLA) method STFT magnitude

More information

Lecture 4 - Spectral Estimation

Lecture 4 - Spectral Estimation Lecture 4 - Spectral Estimation The Discrete Fourier Transform The Discrete Fourier Transform (DFT) is the equivalent of the continuous Fourier Transform for signals known only at N instants separated

More information

Utah Secondary Mathematics Core Curriculum Precalculus

Utah Secondary Mathematics Core Curriculum Precalculus A Correlation of Trigonometry Lial To the Utah Secondary Mathematics Core Curriculum Precalculus Resource Title: Trigonometry Publisher: Pearson Education Inc Publishing as Prentice Hall ISBN (10 or 13

More information

Filter Banks II. Prof. Dr.-Ing Gerald Schuller. Fraunhofer IDMT & Ilmenau Technical University Ilmenau, Germany

Filter Banks II. Prof. Dr.-Ing Gerald Schuller. Fraunhofer IDMT & Ilmenau Technical University Ilmenau, Germany Filter Banks II Prof. Dr.-Ing Gerald Schuller Fraunhofer IDMT & Ilmenau Technical University Ilmenau, Germany Prof. Dr.-Ing. G. Schuller, shl@idmt.fraunhofer.de Page Modulated Filter Banks Extending the

More information

Maths for Map Makers

Maths for Map Makers SUB Gottingen 7 210 050 861 99 A 2003 Maths for Map Makers by Arthur Allan Whittles Publishing Contents /v Chapter 1 Numbers and Calculation 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 1.10 1.11 1.12 1.13 1.14

More information

SNR Calculation and Spectral Estimation [S&T Appendix A]

SNR Calculation and Spectral Estimation [S&T Appendix A] SR Calculation and Spectral Estimation [S&T Appendix A] or, How not to make a mess of an FFT Make sure the input is located in an FFT bin 1 Window the data! A Hann window works well. Compute the FFT 3

More information

FILTER DESIGN FOR SIGNAL PROCESSING USING MATLAB AND MATHEMATICAL

FILTER DESIGN FOR SIGNAL PROCESSING USING MATLAB AND MATHEMATICAL FILTER DESIGN FOR SIGNAL PROCESSING USING MATLAB AND MATHEMATICAL Miroslav D. Lutovac The University of Belgrade Belgrade, Yugoslavia Dejan V. Tosic The University of Belgrade Belgrade, Yugoslavia Brian

More information

Utah Core State Standards for Mathematics - Precalculus

Utah Core State Standards for Mathematics - Precalculus A Correlation of A Graphical Approach to Precalculus with Limits A Unit Circle Approach 6 th Edition, 2015 to the Resource Title: with Limits 6th Edition Publisher: Pearson Education publishing as Prentice

More information

Lecture 27 Frequency Response 2

Lecture 27 Frequency Response 2 Lecture 27 Frequency Response 2 Fundamentals of Digital Signal Processing Spring, 2012 Wei-Ta Chu 2012/6/12 1 Application of Ideal Filters Suppose we can generate a square wave with a fundamental period

More information

xvi xxiii xxvi Construction of the Real Line 2 Is Every Real Number Rational? 3 Problems Algebra of the Real Numbers 7

xvi xxiii xxvi Construction of the Real Line 2 Is Every Real Number Rational? 3 Problems Algebra of the Real Numbers 7 About the Author v Preface to the Instructor xvi WileyPLUS xxii Acknowledgments xxiii Preface to the Student xxvi 1 The Real Numbers 1 1.1 The Real Line 2 Construction of the Real Line 2 Is Every Real

More information

The Finite-Difference Time-Domain Method for Electromagnetics with MATLAB Simulations

The Finite-Difference Time-Domain Method for Electromagnetics with MATLAB Simulations The Finite-Difference Time-Domain Method for Electromagnetics with MATLAB Simulations Atef Z. Elsherbeni and Veysel Demir SciTech Publishing, Inc Raleigh, NC scitechpublishing.com Contents Preface Author

More information

The Discrete Fourier Transform

The Discrete Fourier Transform In [ ]: cd matlab pwd The Discrete Fourier Transform Scope and Background Reading This session introduces the z-transform which is used in the analysis of discrete time systems. As for the Fourier and

More information

LABORATORY 3 FINITE IMPULSE RESPONSE FILTERS

LABORATORY 3 FINITE IMPULSE RESPONSE FILTERS LABORATORY 3 FINITE IMPULSE RESPONSE FILTERS 3.. Introduction A digital filter is a discrete system, used with the purpose of changing the amplitude and/or phase spectrum of a signal. The systems (filters)

More information

Lesson 1. Optimal signalbehandling LTH. September Statistical Digital Signal Processing and Modeling, Hayes, M:

Lesson 1. Optimal signalbehandling LTH. September Statistical Digital Signal Processing and Modeling, Hayes, M: Lesson 1 Optimal Signal Processing Optimal signalbehandling LTH September 2013 Statistical Digital Signal Processing and Modeling, Hayes, M: John Wiley & Sons, 1996. ISBN 0471594318 Nedelko Grbic Mtrl

More information

HANDBOOK OF APPLICABLE MATHEMATICS

HANDBOOK OF APPLICABLE MATHEMATICS HANDBOOK OF APPLICABLE MATHEMATICS Chief Editor: Walter Ledermann Volume II: Probability Emlyn Lloyd University oflancaster A Wiley-Interscience Publication JOHN WILEY & SONS Chichester - New York - Brisbane

More information

Nuclear Physics for Applications

Nuclear Physics for Applications Stanley C. Pruss'm Nuclear Physics for Applications A Model Approach BICENTENNIAL WILEY-VCH Verlag GmbH & Co. KGaA VII Table of Contents Preface XIII 1 Introduction 1 1.1 Low-Energy Nuclear Physics for

More information

Basic Design Approaches

Basic Design Approaches (Classic) IIR filter design: Basic Design Approaches. Convert the digital filter specifications into an analog prototype lowpass filter specifications. Determine the analog lowpass filter transfer function

More information

NETWORK ANALYSIS WITH APPLICATIONS

NETWORK ANALYSIS WITH APPLICATIONS NETWORK ANALYSIS WITH APPLICATIONS Third Edition William D. Stanley Old Dominion University Prentice Hall Upper Saddle River, New Jersey I Columbus, Ohio CONTENTS 1 BASIC CIRCUIT LAWS 1 1-1 General Plan

More information

Signals and Systems

Signals and Systems 204181 Signals and Systems Examination Scheme: Teaching Scheme: Theory Online : 50 Marks Lectures: 4 Hrs/ Week Theory Paper : 50 Marks Tutorial : 1 Hr/Week Term work: 25 Course Objectives and Outcomes:

More information

9 THEORY OF CODES. 9.0 Introduction. 9.1 Noise

9 THEORY OF CODES. 9.0 Introduction. 9.1 Noise 9 THEORY OF CODES Chapter 9 Theory of Codes After studying this chapter you should understand what is meant by noise, error detection and correction; be able to find and use the Hamming distance for a

More information

The Fractional Fourier Transform with Applications in Optics and Signal Processing

The Fractional Fourier Transform with Applications in Optics and Signal Processing * The Fractional Fourier Transform with Applications in Optics and Signal Processing Haldun M. Ozaktas Bilkent University, Ankara, Turkey Zeev Zalevsky Tel Aviv University, Tel Aviv, Israel M. Alper Kutay

More information

IT DIGITAL SIGNAL PROCESSING (2013 regulation) UNIT-1 SIGNALS AND SYSTEMS PART-A

IT DIGITAL SIGNAL PROCESSING (2013 regulation) UNIT-1 SIGNALS AND SYSTEMS PART-A DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING IT6502 - DIGITAL SIGNAL PROCESSING (2013 regulation) UNIT-1 SIGNALS AND SYSTEMS PART-A 1. What is a continuous and discrete time signal? Continuous

More information

Linear Algebra in Numerical Methods. Lecture on linear algebra MATLAB/Octave works well with linear algebra

Linear Algebra in Numerical Methods. Lecture on linear algebra MATLAB/Octave works well with linear algebra Linear Algebra in Numerical Methods Lecture on linear algebra MATLAB/Octave works well with linear algebra Linear Algebra A pseudo-algebra that deals with a system of equations and the transformations

More information

covariance function, 174 probability structure of; Yule-Walker equations, 174 Moving average process, fluctuations, 5-6, 175 probability structure of

covariance function, 174 probability structure of; Yule-Walker equations, 174 Moving average process, fluctuations, 5-6, 175 probability structure of Index* The Statistical Analysis of Time Series by T. W. Anderson Copyright 1971 John Wiley & Sons, Inc. Aliasing, 387-388 Autoregressive {continued) Amplitude, 4, 94 case of first-order, 174 Associated

More information

Review of Fundamentals of Digital Signal Processing

Review of Fundamentals of Digital Signal Processing Chapter 2 Review of Fundamentals of Digital Signal Processing 2.1 (a) This system is not linear (the constant term makes it non linear) but is shift-invariant (b) This system is linear but not shift-invariant

More information

8.1 Circuit Parameters

8.1 Circuit Parameters 8.1 Circuit Parameters definition of decibels using decibels transfer functions impulse response rise time analysis Gaussian amplifier transfer function RC circuit transfer function analog-to-digital conversion

More information

References. Microcomputer, Macmillan. Angell, I. O. and Jones, B. J. (1983b). Advanced Graphics with the Sinclair ZX

References. Microcomputer, Macmillan. Angell, I. O. and Jones, B. J. (1983b). Advanced Graphics with the Sinclair ZX References Adams, A. G. (1969).'Areas under the normal curve', Algorithm 39, Computer J., 12. American National Standards Institute (1978). American National Standard for Minimal BASIC, ANSI X3.60. Angell,

More information

Lecture 8: Signal Detection and Noise Assumption

Lecture 8: Signal Detection and Noise Assumption ECE 830 Fall 0 Statistical Signal Processing instructor: R. Nowak Lecture 8: Signal Detection and Noise Assumption Signal Detection : X = W H : X = S + W where W N(0, σ I n n and S = [s, s,..., s n ] T

More information

Reading. 3. Image processing. Pixel movement. Image processing Y R I G Q

Reading. 3. Image processing. Pixel movement. Image processing Y R I G Q Reading Jain, Kasturi, Schunck, Machine Vision. McGraw-Hill, 1995. Sections 4.-4.4, 4.5(intro), 4.5.5, 4.5.6, 5.1-5.4. 3. Image processing 1 Image processing An image processing operation typically defines

More information

Shigeji Fujita and Salvador V Godoy. Mathematical Physics WILEY- VCH. WILEY-VCH Verlag GmbH & Co. KGaA

Shigeji Fujita and Salvador V Godoy. Mathematical Physics WILEY- VCH. WILEY-VCH Verlag GmbH & Co. KGaA Shigeji Fujita and Salvador V Godoy Mathematical Physics WILEY- VCH WILEY-VCH Verlag GmbH & Co. KGaA Contents Preface XIII Table of Contents and Categories XV Constants, Signs, Symbols, and General Remarks

More information

Musimathics The Mathematical Foundations of Music Volume 2. Gareth Loy. Foreword by John Chowning

Musimathics The Mathematical Foundations of Music Volume 2. Gareth Loy. Foreword by John Chowning Musimathics The Mathematical Foundations of Music Volume 2 Gareth Loy Foreword by John Chowning The MIT Press Cambridge, Massachusetts London, England ..2.3.4.5.6.7.8.9.0..2.3.4 2 2. 2.2 2.3 2.4 2.5 2.6

More information

2.161 Signal Processing: Continuous and Discrete Fall 2008

2.161 Signal Processing: Continuous and Discrete Fall 2008 IT OpenCourseWare http://ocw.mit.edu 2.161 Signal Processing: Continuous and Discrete all 2008 or information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. assachusetts

More information

GATE EE Topic wise Questions SIGNALS & SYSTEMS

GATE EE Topic wise Questions SIGNALS & SYSTEMS www.gatehelp.com GATE EE Topic wise Questions YEAR 010 ONE MARK Question. 1 For the system /( s + 1), the approximate time taken for a step response to reach 98% of the final value is (A) 1 s (B) s (C)

More information

IB Paper 6: Signal and Data Analysis

IB Paper 6: Signal and Data Analysis IB Paper 6: Signal and Data Analysis Handout 5: Sampling Theory S Godsill Signal Processing and Communications Group, Engineering Department, Cambridge, UK Lent 2015 1 / 85 Sampling and Aliasing All of

More information

COPYRIGHTED MATERIAL CONTENTS. Preface Preface to the First Edition

COPYRIGHTED MATERIAL CONTENTS. Preface Preface to the First Edition Preface Preface to the First Edition xi xiii 1 Basic Probability Theory 1 1.1 Introduction 1 1.2 Sample Spaces and Events 3 1.3 The Axioms of Probability 7 1.4 Finite Sample Spaces and Combinatorics 15

More information

Signals and Systems with MATLAB Applications

Signals and Systems with MATLAB Applications Signals and Systems with MATLAB Applications Second Edition Steven T. Karris www.orchardpublications.com Signals and Systems with MATLAB Applications, Second Edition Copyright 2003. All rights reserved.

More information

Dynamic Systems. Modeling and Analysis. Hung V. Vu. Ramin S. Esfandiari. THE McGRAW-HILL COMPANIES, INC. California State University, Long Beach

Dynamic Systems. Modeling and Analysis. Hung V. Vu. Ramin S. Esfandiari. THE McGRAW-HILL COMPANIES, INC. California State University, Long Beach Dynamic Systems Modeling and Analysis Hung V. Vu California State University, Long Beach Ramin S. Esfandiari California State University, Long Beach THE McGRAW-HILL COMPANIES, INC. New York St. Louis San

More information

Solutions to Problems in Chapter 4

Solutions to Problems in Chapter 4 Solutions to Problems in Chapter 4 Problems with Solutions Problem 4. Fourier Series of the Output Voltage of an Ideal Full-Wave Diode Bridge Rectifier he nonlinear circuit in Figure 4. is a full-wave

More information

ADAPTIVE FILTER THEORY

ADAPTIVE FILTER THEORY ADAPTIVE FILTER THEORY Fourth Edition Simon Haykin Communications Research Laboratory McMaster University Hamilton, Ontario, Canada Front ice Hall PRENTICE HALL Upper Saddle River, New Jersey 07458 Preface

More information

Signals and Spectra - Review

Signals and Spectra - Review Signals and Spectra - Review SIGNALS DETERMINISTIC No uncertainty w.r.t. the value of a signal at any time Modeled by mathematical epressions RANDOM some degree of uncertainty before the signal occurs

More information

1. Calculation of the DFT

1. Calculation of the DFT ELE E4810: Digital Signal Processing Topic 10: The Fast Fourier Transform 1. Calculation of the DFT. The Fast Fourier Transform algorithm 3. Short-Time Fourier Transform 1 1. Calculation of the DFT! Filter

More information

Representation of Signals and Systems. Lecturer: David Shiung

Representation of Signals and Systems. Lecturer: David Shiung Representation of Signals and Systems Lecturer: David Shiung 1 Abstract (1/2) Fourier analysis Properties of the Fourier transform Dirac delta function Fourier transform of periodic signals Fourier-transform

More information

Mathematics for Chemists

Mathematics for Chemists Mathematics for Chemists MATHEMATICS FOR CHEMISTS D. M. Hirst Department of Molecular Sciences, university of Warwick, Coventry M D. M. Hirst 1976 All rights reserved. No part of this publication may be

More information

LAPLACE TRANSFORMATION AND APPLICATIONS. Laplace transformation It s a transformation method used for solving differential equation.

LAPLACE TRANSFORMATION AND APPLICATIONS. Laplace transformation It s a transformation method used for solving differential equation. LAPLACE TRANSFORMATION AND APPLICATIONS Laplace transformation It s a transformation method used for solving differential equation. Advantages The solution of differential equation using LT, progresses

More information

A Guide to Experiments in Quantum Optics

A Guide to Experiments in Quantum Optics Hans-A. Bachor and Timothy C. Ralph A Guide to Experiments in Quantum Optics Second, Revised and Enlarged Edition WILEY- VCH WILEY-VCH Verlag CmbH Co. KGaA Contents Preface 1 Introduction 1.1 Historical

More information

Correlator I. Basics. Chapter Introduction. 8.2 Digitization Sampling. D. Anish Roshi

Correlator I. Basics. Chapter Introduction. 8.2 Digitization Sampling. D. Anish Roshi Chapter 8 Correlator I. Basics D. Anish Roshi 8.1 Introduction A radio interferometer measures the mutual coherence function of the electric field due to a given source brightness distribution in the sky.

More information

COMP344 Digital Image Processing Fall 2007 Final Examination

COMP344 Digital Image Processing Fall 2007 Final Examination COMP344 Digital Image Processing Fall 2007 Final Examination Time allowed: 2 hours Name Student ID Email Question 1 Question 2 Question 3 Question 4 Question 5 Question 6 Total With model answer HK University

More information

1. FIR Filter Design

1. FIR Filter Design ELEN E4810: Digital Signal Processing Topic 9: Filter Design: FIR 1. Windowed Impulse Response 2. Window Shapes 3. Design by Iterative Optimization 1 1. FIR Filter Design! FIR filters! no poles (just zeros)!

More information

Fundamentals of Applied Probability and Random Processes

Fundamentals of Applied Probability and Random Processes Fundamentals of Applied Probability and Random Processes,nd 2 na Edition Oliver C. Ibe University of Massachusetts, LoweLL, Massachusetts ip^ W >!^ AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS

More information

Wavelets and Multiresolution Processing

Wavelets and Multiresolution Processing Wavelets and Multiresolution Processing Wavelets Fourier transform has it basis functions in sinusoids Wavelets based on small waves of varying frequency and limited duration In addition to frequency,

More information

NUMERICAL METHODS USING MATLAB

NUMERICAL METHODS USING MATLAB NUMERICAL METHODS USING MATLAB Dr John Penny George Lindfield Department of Mechanical Engineering, Aston University ELLIS HORWOOD NEW YORK LONDON TORONTO SYDNEY TOKYO SINGAPORE Preface 1 An introduction

More information

Windowing Overview Relevance Main lobe/side lobe tradeoff Popular windows Examples

Windowing Overview Relevance Main lobe/side lobe tradeoff Popular windows Examples ing Overview Relevance Main lobe/side lobe tradeoff Popular windows Examples ing In practice, we cannot observe a signal x(n) for n = to n = Thus we must truncate, or window, the signal: x(n) w(n) ing

More information

Department of Electrical and Telecommunications Engineering Technology TEL (718) FAX: (718) Courses Description:

Department of Electrical and Telecommunications Engineering Technology TEL (718) FAX: (718) Courses Description: NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York 300 Jay Street Brooklyn, NY 11201-2983 Department of Electrical and Telecommunications Engineering Technology TEL (718) 260-5300 - FAX:

More information

Tunable IIR Digital Filters

Tunable IIR Digital Filters Tunable IIR Digital Filters We have described earlier two st-order and two nd-order IIR digital transfer functions with tunable frequency response characteristics We shall show now that these transfer

More information

Chapter 5 Frequency Domain Analysis of Systems

Chapter 5 Frequency Domain Analysis of Systems Chapter 5 Frequency Domain Analysis of Systems CT, LTI Systems Consider the following CT LTI system: xt () ht () yt () Assumption: the impulse response h(t) is absolutely integrable, i.e., ht ( ) dt< (this

More information

STAT 302 Introduction to Probability Learning Outcomes. Textbook: A First Course in Probability by Sheldon Ross, 8 th ed.

STAT 302 Introduction to Probability Learning Outcomes. Textbook: A First Course in Probability by Sheldon Ross, 8 th ed. STAT 302 Introduction to Probability Learning Outcomes Textbook: A First Course in Probability by Sheldon Ross, 8 th ed. Chapter 1: Combinatorial Analysis Demonstrate the ability to solve combinatorial

More information

Chapter 2: The Fourier Transform

Chapter 2: The Fourier Transform EEE, EEE Part A : Digital Signal Processing Chapter Chapter : he Fourier ransform he Fourier ransform. Introduction he sampled Fourier transform of a periodic, discrete-time signal is nown as the discrete

More information

Univariate Discrete Distributions

Univariate Discrete Distributions Univariate Discrete Distributions Second Edition NORMAN L. JOHNSON University of North Carolina Chapel Hill, North Carolina SAMUEL KOTZ University of Maryland College Park, Maryland ADRIENNE W. KEMP University

More information

INSTRUMENTAL ENGINEERING

INSTRUMENTAL ENGINEERING INSTRUMENTAL ENGINEERING Subject Code: IN Course Structure Sections/Units Section A Unit 1 Unit 2 Unit 3 Unit 4 Unit 5 Unit 6 Section B Section C Section D Section E Section F Section G Section H Section

More information

ω 0 = 2π/T 0 is called the fundamental angular frequency and ω 2 = 2ω 0 is called the

ω 0 = 2π/T 0 is called the fundamental angular frequency and ω 2 = 2ω 0 is called the he ime-frequency Concept []. Review of Fourier Series Consider the following set of time functions {3A sin t, A sin t}. We can represent these functions in different ways by plotting the amplitude versus

More information

Patrick F. Dunn 107 Hessert Laboratory Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame, IN 46556

Patrick F. Dunn 107 Hessert Laboratory Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame, IN 46556 Learning Objectives to Accompany MEASUREMENT AND DATA ANALYSIS FOR ENGINEERING AND SCIENCE Second Edition, Taylor and Francis/CRC Press, c 2010 ISBN: 9781439825686 Patrick F. Dunn pdunn@nd.edu 107 Hessert

More information

Contents. Digital Signal Processing, Part II: Power Spectrum Estimation

Contents. Digital Signal Processing, Part II: Power Spectrum Estimation Contents Digital Signal Processing, Part II: Power Spectrum Estimation 5. Application of the FFT for 7. Parametric Spectrum Est. Filtering and Spectrum Estimation 7.1 ARMA-Models 5.1 Fast Convolution 7.2

More information

Technical Note

Technical Note ESD ACCESSION LIST TRI Call Nn n 9.3 ' Copy No. / of I

More information

Optimum Ordering and Pole-Zero Pairing of the Cascade Form IIR. Digital Filter

Optimum Ordering and Pole-Zero Pairing of the Cascade Form IIR. Digital Filter Optimum Ordering and Pole-Zero Pairing of the Cascade Form IIR Digital Filter There are many possible cascade realiations of a higher order IIR transfer function obtained by different pole-ero pairings

More information

ECGR4124 Digital Signal Processing Exam 2 Spring 2017

ECGR4124 Digital Signal Processing Exam 2 Spring 2017 ECGR4124 Digital Signal Processing Exam 2 Spring 2017 Name: LAST 4 NUMBERS of Student Number: Do NOT begin until told to do so Make sure that you have all pages before starting NO TEXTBOOK, NO CALCULATOR,

More information

SYLLABI FOR THE WRITTEN TEST

SYLLABI FOR THE WRITTEN TEST G u w ahat i, A ssa m, I ND IA PI N - - 781039 PHONE: 91-361- 2582550 FAX: 91-361- 2582542 D epa rt m en t o f E l ec tr on i c s & E l ec tri ca l Eng i nee ri n g IIT GUWAHATI SYLLABI FOR THE WRITTEN

More information

SIGNALS AND SYSTEMS I. RAVI KUMAR

SIGNALS AND SYSTEMS I. RAVI KUMAR Signals and Systems SIGNALS AND SYSTEMS I. RAVI KUMAR Head Department of Electronics and Communication Engineering Sree Visvesvaraya Institute of Technology and Science Mahabubnagar, Andhra Pradesh New

More information

Digital Speech Processing Lecture 10. Short-Time Fourier Analysis Methods - Filter Bank Design

Digital Speech Processing Lecture 10. Short-Time Fourier Analysis Methods - Filter Bank Design Digital Speech Processing Lecture Short-Time Fourier Analysis Methods - Filter Bank Design Review of STFT j j ˆ m ˆ. X e x[ mw ] [ nˆ m] e nˆ function of nˆ looks like a time sequence function of ˆ looks

More information