ISBN 9781439837825,Digital Signal Processing With Examples In Matlab

Digital Signal Processing With Examples In Matlab

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ISBN 9781439837825
Publisher

CRC Press

Publication Year 2011
ISBN-13

ISBN 9781439837825

ISBN-10 1439837821
Binding

Paperback

Edition 2nd
Number of Pages 516 Pages
Language (English)
Subject

Electronics & Communication Engineering

Based On Fundamental Principles From Mathematics, Linear Systems, And Signal Analysis, Digital Signal Processing (Dsp) Algorithms Are Useful For Extracting Information From Signals Collected All Around Us. Combined With Today'S Powerful Computing Capabilities, They Can Be Used In A Wide Range Of Application Areas, Including Engineering, Communications, Geophysics, Computer Science, Information Technology, Medicine, And Biometrics.

Updated And Expanded, Digital Signal Processing With Examples In MatlabŪ, Second Edition Introduces The Basic Aspects Of Signal Processing And Presents The Fundamentals Of Dsp. It Also Relates Dsp To Continuous Signal Processing, Rather Than Treating It As An Isolated Operation.

New To The Second Edition
Discussion Of Current Dsp Applications
New Chapters On Analog Systems Models And Pattern Recognition
Using Support Vector Machines
New Sections On The Chirp Z-Transform, Resampling, Waveform Reconstruct Ion, Discrete Sine Transform, And Logarithmic And Nonuniform Sampling
A More Comprehensive Table Of Transforms

Developing The Fundamentals Of Dsp From The Ground Up, This Bestselling Text Continues To Provide Readers With A Solid Foundation For Further Work In Most Areas Of Signal Processing. For Novices, The Authors Review The Basic M A Thematics Required To Understand Dsp Systems And Offer A Brief Introduction T O Matlab. They Also Include End-Of-Chapter Exercises That Not Only Provide Examples Of The Topics Discussed, But Also Introduce Topics And Applications Not Covered In The Chapters.

Table Of Contents
Introduction
Least Squares, Orthogonality, And The Fourier Series
Correlation, Fourier Spectra, And The Sampling Theorem
Linear Systems And Transfer Functions
Finite Impulse Response Filter Design
Infinite Impulse Response Filter Design
Random Signals And Spectral Estimation
Least-Squares System Design
Adaptive Signal Processing
Signal Information, Coding, And Compression
Models Of Analog Systems
Pattern Recognition With Support Vector Machines
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