Digital Signal Processing
Mathematical and Computational Methods, Software Development and Applications
2nd Edition
Published on 1. March 2006
Book
Paperback/Softback
840 pages
978-1-904275-26-8 (ISBN)
Description
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.
More details
Series
Edition
2nd edition
Language
English
Place of publication
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Weight
1230 gr
ISBN-13
978-1-904275-26-8 (9781904275268)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jonathan M. Blackledge
Digital Signal Processing
Mathematical and Computational Methods, Software Development and Applications
E-Book
03/2006
2nd Edition
Woodhead Publishing
€106.00
Available for download
Person
Content
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 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; Solutions; Graphics utility.