Chapter: Applications in Signal Processing, Communications, and Adaptive Control

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Home > Stochastic Approximation and Recursive Algorithms and Applications > Applications in Signal Processing, Communications, and Adaptive Control

Stochastic Approximation and Recursive Algorithms and Applications |

Harold Kushner; G. George Yin

Springer New York

Stochastic Approximation and Recursive Algorithms and Applications

Applications in Signal Processing, Communications, and Adaptive Control

Chapter Info

ARI Id

1664076606920_222862

Access

Not Available Free

Pages

63-93

DOI

10.1007/0-387-21769-X_3

Chapter URL

https://rd.springer.com/chapter/10.1007/0-387-21769-X_3

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xxii
Introduction: Applications and Issues		1-27
Applications to Learning, Repeated Games, State Dependent Noise, and Queue Optimization		29-62
Applications in Signal Processing, Communications, and Adaptive Control		63-93
Mathematical Background		95-115
Convergence with Probability One: Martingale Difference Noise		117-159
Convergence with Probability One: Correlated Noise		161-212
Weak Convergence: Introduction		213-240
Weak Convergence Methods for General Algorithms		241-290
Applications: Proofs of Convergence		291-314
Rate of Convergence		315-371
Averaging of the Iterates		373-393
Distributed/Decentralized and Asynchronous Algorithms		395-441
Back Matter		443-474
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