Digital Signal Processing: Mathematical and Computational Methods, Software Development, and Applications / Edition 2

Digital Signal Processing: Mathematical and Computational Methods, Software Development, and Applications / Edition 2

by J M Blackledge
     
 

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ISBN-10: 1904275265

ISBN-13: 9781904275268

Pub. Date: 03/28/2006

Publisher: Elsevier Science

This book forms the first part of a complete MSc course in an area that is fundamental to the continuing revolution in information technology and communication systems. Massively exhaustive, authoritative, comprehensive and reinforced with software, this is an introduction to modern methods in the developing field of Digital Signal Processing (DSP). The focus is on

Overview

This book forms the first part of a complete MSc course in an area that is fundamental to the continuing revolution in information technology and communication systems. Massively exhaustive, authoritative, comprehensive and reinforced with software, this is an introduction to modern methods in the developing field of Digital Signal Processing (DSP). The focus is on the design of algorithms and the processing of digital signals in areas of communications and control, providing the reader with a comprehensive introduction to the underlying principles and mathematical models.

  • Provides an introduction to modern methods in the developing field of Digital Signal Processing (DSP)
  • Focuses on the design of algorithms and the processing of digital signals in areas of communications and control
  • Provides a comprehensive introduction to the underlying principles and mathematical models of Digital Signal Processing

Product Details

ISBN-13:
9781904275268
Publisher:
Elsevier Science
Publication date:
03/28/2006
Series:
Woodhead Publishing Series in Electronic and Optical Materials Series, #11
Edition description:
Second Edition
Pages:
840
Product dimensions:
6.60(w) x 9.50(h) x 1.70(d)

Table of Contents

Part 1 Signal analysis: Complex analysis; The delta function; The Fourier series; The Fourier transform; Other integral transforms. Part 2 Computational linear algebra; Matrices and matrix algebra; Direct methods of solution; Iterative methods of solution; Eigen values and Eigen vectors. Part 3 Programming and software engineering; Principles of software engineering; Modular programming in C. Part 4 Digital signal processing: Methods, algorithms and building a library; Digital filters and the FFT; Frequency domain filtering with noise; Statistics, entropy and extrapolation; Digital filtering in the time domain; Random fractal signals; Solutions; Graphics utility.

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