Download From Rapidshare, depositfiles, megaupload, badongo, filefactory, rapidshare, megaporn,uploadbox,uploaded, usenet without Premium!
Release counts     Today: 42     Yesterday: 175     Total: 190656
Search:
 
 
       
#    A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Digital Signal Processing: DSP and Applications
Digital Signal Processing: DSP and Applications
Date: 21 Jan 2007, 19:44
0750648112, Pages: 240

This book is a uniquely practical DSP text which places the emphasis on understanding the principles

and applications of DSP with a minimum of mathematics. In one volume, it covers a broad area of digital

signal processing systems such as A/D and D/A converters, adaptive filters, spectral estimation, neural

networks, Kalman filters, fuzzy logic, data compression, error correction and DSP programming. Many

courses will find that this book will replace several texts currently in use.

The level is ideal for introductory university modules, and similar courses such as HNC/D. As DSP has

come to be studied at a lower academic level over recent years this text meets a genuine need. It is

also suitable for use on industrial training courses and ideal as a reference text for professionals.

* A readable introduction to the practical application of DSP
* Broad coverage of the subject means this will cover a typical undergraduate module in just one

book
* Practical focus with maths treated as a practical tool – not an advanced maths text

Table of Contents

Preface
1 Introduction
1.1 Historic background 1
1.2 Digital signal processing basics 4
2 The analog-digital interface
2.1 System considerations 20
2.2 Digital to analog conversion 26
2.3 Analog to digital conversion 36
3 Adaptive digital systems
3.1 Introduction 48
3.2 The processor and the performance function 50
3.3 Adaptation algorithms 55
3.4 Applications 59
4 Non-linear applications
4.1 General 69
4.2 The median filter 69
4.3 Artificial neural networks 73
4.4 Fuzzy logic 90
5 Spectral analysis and modulation
5.1 DFT and FFT 100
5.2 Spectral analysis 103
5.3 Complex modulation 115
6 Introduction to Kalman filters
6.1 An intuitive approach 119
6.2 The Kalman filter 124
7 Data compression
7.1 An information theory primer 136
7.2 Source coding 140
8 Error-correcting codes
8.1 Channel coding 160
8.2 Error-correcting codes 165
9 Digital signal processors
9.1 System considerations 186
9.2 DSP versus conventional microprocessors 191
9.3 Programming DSPs 196
9.4 Implementation examples 205
9.5 Where to? 215
References 217
Glossary 219
Index 225



Резервация в Trincomale. Шри Ланка, Восток. Предложения