Elements of Signals and Systems

Alexander D. Poularikas

688 pages, parution le 15/12/2006

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Résumé

Taking a pedagogical approach, the author builds a solid foundation in signal processing as well as analog and digital systems. The book first introduces orthogonal signals, linear and time-invariant continuous-time systems, discrete-type systems and their solution, periodic signals represented by Fourier series, Gibbs's phenomenon, and the sampling theorem. After chapters on various transforms, the book discusses analog filter design, both finite and infinite impulse response digital filters, random digital signal processing, including the nonparametric spectral estimation. The final chapter characterizes different types of filtering and their uses, specifically, the use of Wiener filtering and least mean squares filtering.

Sommaire

Signals and Their Functional Representation
Linear Continuous-Time Systems
Discrete Systems
Periodic Continuous Signals and Their Spectrums
Nonperiodic Signals and Their Fourier Transform
Sampling of Continuous Signals
Discrete-Time Transforms
Laplace Transform
The Z-Transform, Difference Equations, and Discrete Systems
Analog Filter Design
Finite Impulse Response (FIR) Filters
Infinite Impulse Response (IIR) Filters
Random Variables, Sequences, and Power Spectra Densities
Least Square System Design, Wiener Filter, and the LMS Filter
Appendices

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	PAPIER
Éditeur(s)	CRC Press (Taylor and Francis Group)
Auteur(s)	Alexander D. Poularikas
Parution	15/12/2006
Nb. de pages	688
Format	16 x 24
Couverture	Relié
Poids	1070g
Intérieur	Noir et Blanc
EAN13	9780849372674
ISBN13	978-0-8493-7267-4