Digital Signal Processing with Examples in Matlab

Samuel D. Stearns

346 pages, parution le 27/11/2002

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Résumé

In a field as rapidly expanding as digital signal processing, even the topics relevant to the basics change over time both in their nature and their relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals, but that also follows a logical development that leaves no gaps readers must somehow bridge by themselves.

Digital Signal Processing with Examples in MATLAB® is just such a text. The presentation does not focus on DSP in isolation, but relates it to continuous signal processing and treats digital signals as samples of physical phenomena. The author also takes care to introduce important topics not usually addressed in signal processing texts, including the discrete cosine and wavelet transforms, multirate signal processing, signal coding and compression, least squares systems design, and adaptive signal processing. He also uses the industry-standard software MATLAB to provide examples of signal processing, system design, spectral analysis, filtering, coding and compression, and exercise solutions. All of the examples and functions used in the text are available online at www.crcpress.com.

Designed for a one-semester upper-level course but also ideal for self-study and reference, Digital Signal Processing with Examples in MATLAB is complete, self-contained, and rigorous. For basic DSP, it is quite simply the only book you need.

Features

Offers an outstanding balance of DSP theory, techniques, and applications
Includes a concise MATLAB tutorial and describes dozens of useful MATLAB functions
Introduces statistical signal processing and spectral analysis
Provides a complete reference for basic theory and applications of least-squares and adaptive signal processing
Covers FIR and IIR digital filtering and filter structures
Addresses topics in signal coding and compression A solutions manual is available with qualifying course adoptions.

Contents

Introduction
Least Squares, Orthogonality, and the Fourier Series
Correlation, Fourier Spectra, and the Sampling Theorem
Linear Systems and Transfer Functions
FIR Filter Design
IIR Filter Design
Random Signals and Spectral Estimation
Least-Squares System Design
Adaptive Signal Processing
Signal Information, Coding, and Compression

L'auteur - Samuel D. Stearns

Sandia National Laboratories, Albuquerque, New Mexico, USA

Caractéristiques techniques

	PAPIER
Éditeur(s)	CRC Press (Taylor and Francis Group)
Auteur(s)	Samuel D. Stearns
Parution	27/11/2002
Nb. de pages	346
Format	16,2 x24,2
Couverture	Relié
Poids	666g
Intérieur	Noir et Blanc
EAN13	9780849310911
ISBN13	978-0-8493-1091-1