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Adaptive Filters Theory and Applications.

Detalles Bibliográficos
Autor principal: Farhang-Boroujeny, Behrouz
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 1999.
Colección:New York Academy of Sciences Ser.
Temas:
Acceso en línea:Texto completo

MARC

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020 |a 9781118591345 
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029 1 |a AU@  |b 000073110287 
035 |a (OCoLC)1347028146 
082 0 4 |a 621.3815/324  |q OCoLC  |2 23/eng/20230216 
049 |a UAMI 
100 1 |a Farhang-Boroujeny, Behrouz. 
245 1 0 |a Adaptive Filters  |h [electronic resource] :  |b Theory and Applications. 
260 |a Newark :  |b John Wiley & Sons, Incorporated,  |c 1999. 
300 |a 1 online resource (802 p.). 
490 1 |a New York Academy of Sciences Ser. 
500 |a Description based upon print version of record. 
505 0 |a Cover -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- 1.1 Linear Filters -- 1.2 Adaptive Filters -- 1.3 Adaptive Filter Structures -- 1.4 Adaptation Approaches -- 1.4.1 Approach Based on Wiener Filter Theory -- 1.4.2 Method of Least-Squares -- 1.5 Real and Complex Forms of Adaptive Filters -- 1.6 Applications -- 1.6.1 Modeling -- 1.6.2 Inverse Modeling -- 1.6.3 Linear Prediction -- 1.6.4 Interference Cancellation -- Chapter 2 Discrete-Time Signals and Systems -- 2.1 Sequences and z-Transform -- 2.2 Parseval's Relation -- 2.3 System Function 
505 8 |a 2.4 Stochastic Processes -- 2.4.1 Stochastic Averages -- 2.4.2 z-Transform Representations -- 2.4.3 The Power Spectral Density -- 2.4.4 Response of Linear Systems to Stochastic Processes -- 2.4.5 Ergodicity and Time Averages -- Problems -- Chapter 3 Wiener Filters -- 3.1 Mean-Squared Error Criterion -- 3.2 Wiener Filter-Transversal, Real-Valued Case -- 3.3 Principle of Orthogonality -- 3.4 Normalized Performance Function -- 3.5 Extension to Complex-Valued Case -- 3.6 Unconstrained Wiener Filters -- 3.6.1 Performance Function -- 3.6.2 Optimum Transfer Function -- 3.6.3 Modeling 
505 8 |a 3.6.4 Inverse Modeling -- 3.6.5 Noise Cancellation -- 3.7 Summary and Discussion -- Problems -- Chapter 4 Eigenanalysis and Performance Surface -- 4.1 Eigenvalues and Eigenvectors -- 4.2 Properties of Eigenvalues and Eigenvectors -- 4.3 Performance Surface -- Problems -- Chapter 5 Search Methods -- 5.1 Method of Steepest Descent -- 5.2 Learning Curve -- 5.3 Effect of Eigenvalue Spread -- 5.4 Newton's Method -- 5.5 An Alternative Interpretation of Newton's Algorithm -- Problems -- Chapter 6 LMS Algorithm -- 6.1 Derivation of LMS Algorithm -- 6.2 Average Tap-Weight Behavior of the LMS Algorithm 
505 8 |a 6.3 MSE Behavior of the LMS Algorithm -- 6.3.1 Learning Curve -- 6.3.2 Weight-Error Correlation Matrix -- 6.3.3 Excess MSE and Misadjustment -- 6.3.4 Stability -- 6.3.5 The Effect of Initial Values of Tap Weights on the Transient Behavior of the LMS Algorithm -- 6.4 Computer Simulations -- 6.4.1 System Modeling -- 6.4.2 Channel Equalization -- 6.4.3 Adaptive Line Enhancement -- 6.4.4 Beamforming -- 6.5 Simplified LMS Algorithms -- 6.6 Normalized LMS Algorithm -- 6.7 Affine Projection LMS Algorithm -- 6.8 Variable Step-Size LMS Algorithm -- 6.9 LMS Algorithm for Complex-Valued Signals 
505 8 |a 6.10 Beamforming (Revisited) -- 6.11 Linearly Constrained LMS Algorithm -- 6.11.1 Statement of the Problem and Its Optimal Solution -- 6.11.2 Update Equations -- 6.11.3 Extension to the Complex-Valued Case -- Problems -- Chapter 7 Transform Domain Adaptive Filters -- 7.1 Overview of Transform Domain Adaptive Filters -- 7.2 Band-Partitioning Property of Orthogonal Transforms -- 7.3 Orthogonalization Property of Orthogonal Transforms -- 7.4 Transform Domain LMS Algorithm -- 7.5 Ideal LMS-Newton Algorithm and Its Relationship with TDLMS -- 7.6 Selection of the Transform T 
500 |a 7.6.1 A Geometrical Interpretation 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
655 0 |a Electronic books. 
758 |i has work:  |a Adaptive filters (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGdXg8p7T3yDgTYPmt6fHK  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Farhang-Boroujeny, Behrouz  |t Adaptive Filters  |d Newark : John Wiley & Sons, Incorporated,c1999  |z 9781119979548 
830 0 |a New York Academy of Sciences Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7103838  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7103838 
994 |a 92  |b IZTAP