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Statistical signal processing : modelling and estimation

Author: Thierry Chonavel; Janet Ormrod
Publisher: London [u.a.] : Springer, 2002.
Series: Advanced textbooks in control and signal processing.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:

A presentation of the basis of statistical signal processing. It teaches a variety of techniques, demonstrating how they can be applied to many different situations.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Thierry Chonavel; Janet Ormrod
ISBN: 1852333855 9781852333850
OCLC Number: 248728112
Notes: Literaturverz. S. [323] - 326.
Description: XX, 331 S. : graph. Darst. ; 24 cm + 1 CD-ROM (12 cm)
Contents: 1. Introduction.- 2. Random Processes.- 3. Power Spectrum of WSS Processes.- 4. Spectral Representation of WSS Processes.- 5. Filtering of WSS Processes.- 6. Important Particular Processes.- 7. Non-linear Transforms of Processes.- 8. Linear Prediction of WSS Processes.- 9. Particular Filtering Techniques.- 10. Rational Spectral Densities.- 11. Spectral Identification of WSS Processes.- 12. Non-parametric Spectral Estimation.- 13. Parametric Spectral Estimation.- 14. Higher Order Statistics.- 15. Bayesian Methods and Simulation Techniques.- 16. Adaptive Estimation.- A. Elements of Measure Theory.- C. Extension of a Linear Operator.- D. Kolmogorov's Isomorphism and Spectral Representation...- E. Wold's Decomposition.- F. Dirichlet's Criterion.- G. Viterbi Algorithm.- H. Minimum-phase Spectral Factorisation of Rational.- I. Compatibility of a Given Data Set with an Autocovariance Set.- 1.1 Elements of Convex Analysis.- 1.2 A Necessary and Sufficient Condition.- J. Levinson's Algorithm.- K. Maximum Principle.- L. One Step Extension of an Autocovariance Sequence.- N. General Solution to the Trigonometric Moment Problem ..- O. A Central Limit Theorem for the Empirical Mean.- P. Covariance of the Empirical Autocovariance Coefficients ...- Q. A Central Limit Theorem for Empirical Autocovariances ..- R. Distribution of the Periodogram for a White Noise.- S. Periodogram of a Linear Process.- T. Variance of the Periodogram.- U. A Strong Law of Large Numbers (I).- V. A Strong Law of Large Numbers (II).- W. Phase-amplitude Relationship for Minimum-phase Causal Filters.- X. Convergence of the Metropolis-Hastings Algorithm.- Y. Convergence of the Gibbs Algorithm.- Z. Asymptotic Variance of the LMS Algorithm.- References.
Series Title: Advanced textbooks in control and signal processing.
Responsibility: T. Chonavel. Transl. by Janet Ormrod.
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From the reviews: "This book is a formal introduction to signal image processing, and a rather complete one too. ... a good reference book to have if you are a research student, a practitioner Read more...

 
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