Adaptive Filtering [electronic resource] : Algorithms and Practical Implementation /
Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms.
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Format: | Texto biblioteca |
Language: | eng |
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Boston, MA : Springer US : Imprint: Springer,
2002
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Subjects: | Engineering., Image processing., Electrical engineering., Electronic circuits., Signal, Image and Speech Processing., Circuits and Systems., Electrical Engineering., Image Processing and Computer Vision., |
Online Access: | http://dx.doi.org/10.1007/978-1-4757-3637-3 |
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KOHA-OAI-TEST:1810822018-07-30T23:01:08ZAdaptive Filtering [electronic resource] : Algorithms and Practical Implementation / Ramirez, Paulo Sergio. author. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,2002.engAdaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms.1 Introduction to Adaptive Filtering -- 2 Fundamentals of Adaptive Filtering -- 3 The Least-Mean-Square (LMS) Algorithm -- 4 LMS-Based Algorithms -- 5 Conventional RLS Adaptive Filter -- 6 Adaptive Lattice-Based RLS Algorithms -- 7 Fast Transversal RLS Algorithms -- 8 QR-Decomposition-Based RLS Filters -- 9 Adaptive IIR Filters -- 10 Nonlinear Adaptive Filtering -- 11 Subband Adaptive Filters -- A Quantization Effects in the LMS and RLS Algorithms.Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms.Engineering.Image processing.Electrical engineering.Electronic circuits.Engineering.Signal, Image and Speech Processing.Circuits and Systems.Electrical Engineering.Image Processing and Computer Vision.Springer eBookshttp://dx.doi.org/10.1007/978-1-4757-3637-3URN:ISBN:9781475736373 |
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Engineering. Image processing. Electrical engineering. Electronic circuits. Engineering. Signal, Image and Speech Processing. Circuits and Systems. Electrical Engineering. Image Processing and Computer Vision. Engineering. Image processing. Electrical engineering. Electronic circuits. Engineering. Signal, Image and Speech Processing. Circuits and Systems. Electrical Engineering. Image Processing and Computer Vision. |
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Engineering. Image processing. Electrical engineering. Electronic circuits. Engineering. Signal, Image and Speech Processing. Circuits and Systems. Electrical Engineering. Image Processing and Computer Vision. Engineering. Image processing. Electrical engineering. Electronic circuits. Engineering. Signal, Image and Speech Processing. Circuits and Systems. Electrical Engineering. Image Processing and Computer Vision. Ramirez, Paulo Sergio. author. SpringerLink (Online service) Adaptive Filtering [electronic resource] : Algorithms and Practical Implementation / |
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Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms. |
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Texto |
topic_facet |
Engineering. Image processing. Electrical engineering. Electronic circuits. Engineering. Signal, Image and Speech Processing. Circuits and Systems. Electrical Engineering. Image Processing and Computer Vision. |
author |
Ramirez, Paulo Sergio. author. SpringerLink (Online service) |
author_facet |
Ramirez, Paulo Sergio. author. SpringerLink (Online service) |
author_sort |
Ramirez, Paulo Sergio. author. |
title |
Adaptive Filtering [electronic resource] : Algorithms and Practical Implementation / |
title_short |
Adaptive Filtering [electronic resource] : Algorithms and Practical Implementation / |
title_full |
Adaptive Filtering [electronic resource] : Algorithms and Practical Implementation / |
title_fullStr |
Adaptive Filtering [electronic resource] : Algorithms and Practical Implementation / |
title_full_unstemmed |
Adaptive Filtering [electronic resource] : Algorithms and Practical Implementation / |
title_sort |
adaptive filtering [electronic resource] : algorithms and practical implementation / |
publisher |
Boston, MA : Springer US : Imprint: Springer, |
publishDate |
2002 |
url |
http://dx.doi.org/10.1007/978-1-4757-3637-3 |
work_keys_str_mv |
AT ramirezpaulosergioauthor adaptivefilteringelectronicresourcealgorithmsandpracticalimplementation AT springerlinkonlineservice adaptivefilteringelectronicresourcealgorithmsandpracticalimplementation |
_version_ |
1756264774570606592 |