This item is in: Engineering > Computing and electrical engineering
Digital signal processing: Mathematical and computational methods, software development and applications (Second edition)J M Blackledge, Loughborough University, UK
Woodhead Publishing Series in Electronic and Optical Materials No. 11
- 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
- part one of a complete MSc course
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.
ISBN 1 904275 26 5
ISBN-13: 978 1 904275 26 8
March 2006
840 pages 234 x 156mm paperback
£80.00 / US$135.00 / €95.00
Usually dispatched within 24 hours
About the author
Jonathan M Blackledge, Loughborough University, UK
Titles which may also be of interest:
Digital image processing
Object-oriented technology and computing systems re-engineering
Digital filters and signal processing in electronic engineering
Contents
PART 1 SIGNAL ANALYSIS
PART 2 COMPUTATIONAL LINEAR ALGEBRA
PART 3 PROGRAMMING AND SOFTWARE ENGINEERING
PART 4 DSP: METHODS, ALGORITHMS AND BUILDING A LIBRARY
Introduction
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
Vector and matrix norms
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 DSP: 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
Summary
Appendix A Solutions to problems