Digital Signal Processing with Examples in MATLAB

By:

Stearns,Samuel D

Contributor(s):

Hush, Donald R

Material type: Text

TextOriginal language: English Series: Electrical Engineering & Applied Signal Processing SeriesPublication details: Hoboken CRC Press 2012Edition: 2Description: XXV,483 pISBN:

9781439837825 (HB)

Subject(s):

DDC classification:

621.382 STE

Contents:

Front Cover; Contents; Foreword to the Second Edition; Foreword to the First Edition in Memory of Richard W. Hamming (1915-1998); Preface to the Second Edition; Preface to the First Edition; Authors; Chapter 1 Introduction; Chapter 2 Least Squares, Orthogonality, and the Fourier Series; Chapter 3 Correlation, Fourier Spectra, and the Sampling Theorem; Chapter 4 Linear Systems and Transfer Functions; Chapter 5 FIR Filter Design; Chapter 6 IIR Filter Design; Chapter 7 Random Signals and Spectral Estimation; Chapter 8 Least-Squares System Design. Chapter 9 Adaptive Signal ProcessingChapter 10 Signal Information, Coding, and Compression; Chapter 11 Models of Analog Systems; Chapter 12 Pattern Recognition with Support Vector Machines; Appendix: Table of Laplace and z Transforms; Color Insert; Back Cover

Summary: IntroductionDigital Signal Processing (DSP)How to Read This TextIntroduction to MATLABSignals, Vectors, and ArraysReview of Vector and Matrix Algebra Using MATLAB NotationGeometric Series and Other FormulasMATLAB Functions in DSPThe Chapters AheadLeast Squares, Orthogonality, and the Fourier SeriesIntroductionLeast SquaresOrthogonalityDiscrete Fourier SeriesCorrelation, Fourier Spectra, and the Sampling TheoremIntroductionCorrelationThe Discrete Fourier Transform (DFT)Redundancy in the DFTThe Fast Fourier Transform (FFT) AlgorithmAmplitude and Phase SpectraThe Inverse DFTProperties of the DFTC

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	IIITDM Kurnool	Non-fiction	621.382 STE (Browse shelf(Opens below))	Available		0005325

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Front Cover; Contents; Foreword to the Second Edition; Foreword to the First Edition in Memory of Richard W. Hamming (1915-1998); Preface to the Second Edition; Preface to the First Edition; Authors; Chapter 1
Introduction; Chapter 2
Least Squares, Orthogonality, and the Fourier Series; Chapter 3
Correlation, Fourier Spectra, and the Sampling Theorem; Chapter 4
Linear Systems and Transfer Functions; Chapter 5
FIR Filter Design; Chapter 6
IIR Filter Design; Chapter 7
Random Signals and Spectral Estimation; Chapter 8
Least-Squares System Design. Chapter 9
Adaptive Signal ProcessingChapter 10
Signal Information, Coding, and Compression; Chapter 11
Models of Analog Systems; Chapter 12
Pattern Recognition with Support Vector Machines; Appendix: Table of Laplace and z Transforms; Color Insert; Back Cover

IntroductionDigital Signal Processing (DSP)How to Read This TextIntroduction to MATLABSignals, Vectors, and ArraysReview of Vector and Matrix Algebra Using MATLAB NotationGeometric Series and Other FormulasMATLAB Functions in DSPThe Chapters AheadLeast Squares, Orthogonality, and the Fourier SeriesIntroductionLeast SquaresOrthogonalityDiscrete Fourier SeriesCorrelation, Fourier Spectra, and the Sampling TheoremIntroductionCorrelationThe Discrete Fourier Transform (DFT)Redundancy in the DFTThe Fast Fourier Transform (FFT) AlgorithmAmplitude and Phase SpectraThe Inverse DFTProperties of the DFTC

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