MTU Cork Library Catalogue

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Adaptive signal processing algorithms : stability and performance / Victor Solo and Xuan Kong.

By: Solo, Victor.
Contributor(s): Kong, Xuan.
Material type: materialTypeLabelBookSeries: Prentice-Hall information and system sciences series.Publisher: Englewood Cliffs, N.J. : Prentice-Hall, 1995Description: xxi, 377 p. : ill. ; 24 cm. + hbk.ISBN: 0135012635 .Subject(s): Adaptive signal processing -- Mathematics | Adaptive filters -- Mathematical modelsDDC classification: 621.3822
Contents:
Part I: Fundamentals -- Introduction -- Offline analysis -- Iterative minimization -- Algorithm construction -- Algorithm analysis: gaussian white noise setting -- Algorithm analysis: deterministic global theory -- Part II: Deterministic averaging -- Deterministic averaging: single time scale -- Deterministic averaging: mixed time scale -- Part III: Stochastic averaging -- Stochastic averaging: single time scale -- Stochastic averaging: mixed time scale.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 621.3822 (Browse shelf(Opens below)) 1 Available 00017745
Total holds: 0

Enhanced descriptions from Syndetics:

Although there has been considerable research activity in the theoretical study of ASP (and Adaptive Control) algorithms in recent years, most of the available literature has touched only briefly on performance analysis. This volume fills that gap by exploring the analysis of behavior (i.e., stability and performance) of Adaptive Signal Processing (ASP) algorithms -- discussing general methods of algorithm construction and general methods of algorithm analysis. Part I introduces ASP through its applications, shows how to construct ASP algorithms, and gives a detailed global stability and performance analysis in both deterministic and stochastic settings. Part II explores deterministic stability analysis by means of averaging methods, which are necessary to handle more complicated algorithms. Part III treats stochastic stability and performance by averaging methods. For practitioners and researchers in signal processing, communication and control.

Bibliography: p. 363-369. - Includes index.

Part I: Fundamentals -- Introduction -- Offline analysis -- Iterative minimization -- Algorithm construction -- Algorithm analysis: gaussian white noise setting -- Algorithm analysis: deterministic global theory -- Part II: Deterministic averaging -- Deterministic averaging: single time scale -- Deterministic averaging: mixed time scale -- Part III: Stochastic averaging -- Stochastic averaging: single time scale -- Stochastic averaging: mixed time scale.

Table of contents provided by Syndetics

  • Part I
  • 1 Introduction
  • 2 Offline Analysis
  • 3 Iterative Minimization
  • 4 Algorithm Construction
  • 5 Algorithm Analysis: Gaussian White Noise Setting
  • 6 Algorithm Analysis: Deterministic Global Theory
  • Part II
  • 7 Deterministic Averaging: Single Time Scale
  • 8 Deterministic Averaging: Mixed Time Scale
  • Part III
  • 9 Stochastic Averaging: Single Time Scale
  • 10 Stochastic Averaging: Mixed Time Scale
  • Appendices
  • A Matrix Analysis Review
  • B Stochastic Signals and Systems Review
  • C Deterministic Signals and Systems Review
  • D Mathematical Analysis Review
  • E Probability Review
  • Bibliography
  • Index

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