Digital Signal Processing Using MATLAB

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Digital Signal ProcessingUsing MATLABV.4

• Vinay K.Ingle
• John G. Proakis
• Northeastern University

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PREFACE

• Teaching method on SP
• 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

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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

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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

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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

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Mitras Lecture Notes

• Lets go

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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

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DSP
PrF antialiasing filtering PoF smooth out the
staircase waveform
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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

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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

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Course Homepage

• http//see.xidian.edu.cn/teach/matlabdsp/index.htm