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

2. 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

3. 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

4. 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

5. 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

6. Mitra’s Lecture Notes
Let’s go

7. 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

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

9. 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

10. 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

11. Course Homepage