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Digital signal processing

Librairie Eyrolles - Paris 5e
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Digital signal processing

Digital signal processing

744 pages, parution le 18/06/1993

Résumé

Covering the modern techniques used in industry, such as adaptive filtering, spectral estimation and multirate processing, this book uses applications and case studies to demonstrate how digital signal processing (DSP) systems are built. It also demonstrates how to use DSP chips for signal processing design and includes programmes written in the C programming language.

Summary of contents

  • Part 1 Introduction: digital signal processing and its benefits
  • application areas
  • key DSP operation
  • overview of real-time signal processing
  • application examples
  • Part 2 Discrete transforms: DFT and its inverse
  • properties of the DFT
  • computational complexity of the DFT
  • decimation-in-time fast Fourier transform algorithm
  • inverse fast Fourier transform
  • implementation of the FFT
  • other discrete transforms
  • worked examples
  • Part 3 Z-transform and its applications in signal processing: discrete-time signals and systems
  • the z-transform
  • the inverse z-transform
  • properties of the z-transform
  • some applications of the z-transform in signal processing
  • Part 4 Correlation and convolution: correlation description
  • convolution description
  • implemetation of correlation and convolution
  • application examples
  • Part 5 A framework for digital filter design: introduction to digital filters
  • types of digital filters - FIR and IIR filters
  • choosing between FIR and IIR filters
  • filter design steps
  • illustrative examples
  • Part 6 Finite impulse responses (FIR) filter design: FIR filter design
  • FIR filter specifications
  • FIR coefficient calculation methods
  • window method
  • the optimal method
  • frequency sampling method
  • realization structures for FIR filters
  • finite wordlength effects in FIR digital filters
  • FIR implementation techniques
  • design example
  • Part 7 Design of infinite impulse response (IIR) digital filters: introduction - summary of the basic features of IIR filters
  • design stages for digital IIR filters
  • stage 1 - performance specification
  • stage 2 - calculation of IIR filter coefficients
  • stage 3 - realization structures for IIR digital filters
  • stage 4 - analysis of finite wordlength effects
  • stage 5 - implementation of the filter
  • a detailed example of an IIR digital filter
  • Part 8 Multirate digital signal processing: concepts of multirate signal processing
  • design of practical sampling rate converters
  • software implementation of sampling rate converters-decimators
  • software implementation of interpolators
  • application examples
  • Part 9 Adaptive digital filters: when to use adaptive filters and where they have been used
  • concepts of adaptive filtering
  • basic Weisner filter theory
  • the basic LMS adaptive algorithm
  • recursive least squares algorithm
  • Part 10 Spectrum estimation and analysis
  • Part 11 General- and special-purpose hardware for DSP
  • Part 12 Applications and case studies

Caractéristiques techniques du livre "Digital signal processing"

  PAPIER
Éditeur(s) Addison Wesley
Auteur(s) Emmanuel C. Ifeachor, Barry W. Jervis
Parution 18/06/1993
Nb. de pages 744
EAN13 9780201544138

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