
Digital Signal Processing
Mathematical and Computational Methods, Software Development and Applications
Jonathan M. Blackledge(Autor*in)
Horwood Publishing Ltd
2. Auflage
Erschienen am 1. März 2006
Buch
Softcover
840 Seiten
978-1-904275-26-8 (ISBN)
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Beschreibung
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.
Weitere Details
Reihe
Auflage
2nd edition
Sprache
Englisch
Verlagsort
Großbritannien
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für Beruf und Forschung
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
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.
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Jonathan M. Blackledge
Digital Signal Processing
Mathematical and Computational Methods, Software Development and Applications
E-Book
03/2006
2. Auflage
Woodhead Publishing
106,00 €
Als Download verfügbar
Person
Jonathan M. Blackledge, Loughborough University, UK
Inhalt
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.