Digital Signal Processing Using MATLAB®V.4 Vinay K.Ingle John G. Proakis Northeastern University

PREFACE Teaching method on SP Matlab software Simple “lecture-only” Integrated “lecture-laboratory” Computer-based explanations, examples and exercises Matlab software Developed by Math Works Inc. De facto standard for numerical computation in the SP Available on all computing platform

PREFACE This book Integrating Matlab with traditional topics on DSP Use Matlab to explore difficult topics and solve problems to gain insight Matlab provides a convenient tool so that many scenarios can be tried with ease Enhance the learning process Assume that the student is familiar with the fundamental of MATLAB

PREFACE Organization of the Book Chapter 1, Introduction Chapter 2, Discrete-time Signals and Systems Chapter 3, The Discrete-time Fourier Analysis Chapter 4, The Z-Transform Chapter 5, The Discrete Fourier Transform Chapter 6, Digital Filter Structures Chapter 7, FIR Filter Design Chapter 8, IIR Filter Design

INTRODUCTION The field of DSP has grown to be important both theoretically and technologically. Development and use of low-cost software and hardware New tech. and app. take advantage of DSP algorithms Make DSP an integral part of any E.E. curriculum Under what condition can DSP course be given to undergraduate students? Advances in PC Interactive software, MATLAB

Mitra’s Lecture Notes Let’s go

Why signals should be processed? Signals are carriers of information Useful and unwanted Extracting, enhancing, storing and transmitting the useful information How signals are being processed?--- Analog Signal Processing vs. Digital Signal Processing

DSP PrF: antialiasing filtering PoF: smooth out the staircase waveform

Comparison of DSP over ASP -Advantages Developed Using Software on Computer; Working Extremely Stable; Easily Modified in Real Time ; Low Cost and Portable; -Disdvantages Lower Speed and Lower Frequency

The two categories of DSP Tasks Signal Analysis: Measurement of signal properties Spectrum(frequency/phase) analysis Target detection, verification, recognition Signal Filtering Signal-in-signal-out, filter Removal of noise/interference Separation of frequency bands

Course Homepage http://see.xidian.edu.cn/teach/matlabdsp/index.htm