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Livro Digital

Proportionate-type Normalized Least Mean Square Algorithms (Cód: 9304802)

Kevin Wagner; Milos Doroslovacki

Wiley (Digital)

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Descrição

The topic of this book is proportionate-type normalized least mean squares (PtNLMS) adaptive filtering algorithms, which attempt to estimate an unknown impulse response by adaptively giving gains proportionate to an estimate of the impulse response and the current measured error. These algorithms offer low computational complexity and fast convergence times for sparse impulse responses in network and acoustic echo cancellation applications. New PtNLMS algorithms are developed by choosing gains that optimize user-defined criteria, such as mean square error, at all times. PtNLMS algorithms are extended from real-valued signals to complex-valued signals. The computational complexity of the presented algorithms is examined. Contents 1. Introduction to PtNLMS Algorithms
2. LMS Analysis Techniques
3. PtNLMS Analysis Techniques
4. Algorithms Designed Based on Minimization of User Defined Criteria
5. Probability Density of WD for PtLMS Algorithms
6. Adaptive Step-size PtNLMS Algorithms
7. Complex PtNLMS Algorithms
8. Computational Complexity for PtNLMS Algorithms

About the Authors Kevin Wagner has been a physicist with the Radar Division of the Naval Research Laboratory, Washington, DC, USA since 2001. His research interests are in the area of adaptive signal processing and non-convex optimization.
Milos Doroslovacki has been with the Department of Electrical and Computer Engineering at George Washington University, USA since 1995, where he is now an Associate Professor. His main research interests are in the fields of adaptive signal processing, communication signals and systems, discrete-time signal and system theory, and wavelets and their applications.

Características

Produto sob encomenda Sim
Marca Wiley (Digital)
Cód. Barras 9781118579251
Início da Venda 10/03/2016
Territorialidade Internacional
Formato Livro Digital Epub
Gratuito Não
Proteção Drm Sim
Número da edição 1
Idioma 337
Código do Formato Epub
Ano da Publicação 113
Peso 0.00 Kg
AutorKevin Wagner; Milos Doroslovacki

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Proportionate-type Normalized Least Mean Square Algorithms (Cód: 9304802) Proportionate-type Normalized Least Mean Square Al... (Cód: 9304802)
R$ 133,64
Proportionate-type Normalized Least Mean Square Algorithms (Cód: 9304802) Proportionate-type Normalized Least Mean Square Al... (Cód: 9304802)
R$ 133,64