Adaptive Signal Processing Algorithms: Stability and Performance
Author:   Victor Solo ,  Xuan Kong
Publisher:   Pearson Education (US)
Edition:   US ed
ISBN:  

9780135012635


Pages:   408
Publication Date:   01 June 1994
Format:   Hardback
Availability:   Out of stock   Availability explained


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Adaptive Signal Processing Algorithms: Stability and Performance


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Overview

This exploration of the analysis of the behaviour of Adaptive Signal Processing (ASP) algorithms discusses general methods of algorithm construction and general methods of algorithm analysis. The text introduces ASP through its applications, shows how to construct ASP algorithms, and gives detailed global stability and performance analysis in both deterministic and stochastic settings. It also explores deterministic stability analysis by means of averaging methods and treats stochastic stability and performance by averaging methods.

Full Product Details

Author:   Victor Solo ,  Xuan Kong
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   US ed
Dimensions:   Width: 24.00cm , Height: 1.80cm , Length: 18.30cm
Weight:   0.782kg
ISBN:  

9780135012635


ISBN 10:   0135012635
Pages:   408
Publication Date:   01 June 1994
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Out of stock   Availability explained

Table of Contents

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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