Digital Signal Processing Using MATLAB V.4

Digital Signal Processing Using MATLAB V.4 PowerPoint PPT Presentation

  • Updated On :
  • Presentation posted in: General

PREFACE. Teaching method on SPSimple lecture-only"Integrated lecture-laboratory"Computer-based explanations, examples and exercisesMatlab softwareDeveloped by Math Works Inc.De facto standard for numerical computation in the SPAvailable on all computing platform. PREFACE. This bookIntegrat

Download Presentation

Digital Signal Processing Using MATLAB V.4

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

1. Digital Signal Processing Using MATLABV.4 Vinay K.Ingle John G. Proakis Northeastern University

2. 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

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. Mitras Lecture Notes Lets 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

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

  • Login