Adaptive Filtering: Algorithms and Practical Implementation
The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno logies for implementing digital signal processing algorithms. The tr...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1997
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Schriftenreihe: | The Springer International Series in Engineering and Computer Science
399 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno logies for implementing digital signal processing algorithms. The tremendous growth of development in the digital signal processing area has turned some of its specialized areas into fields themselves. If accurate information of the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal. When dealing with signals whose statistical properties are unknown, fixed algorithms do not process these signals efficiently. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing the internal parameters. The adaptive filtering algorithms are essential in many statistical signal processing applications. Although the field of adaptive signal processing has been subject of research for over three decades, it was in the eighties that a major growth occurred in research and applications. Two main reasons can be credited to this growth, the availability of implementation tools and the appearance of early textbooks exposing the subject in an organized form. Presently, there is still a lot of activities going on in the area of adaptive filtering. In spite of that, the theor etical development in the linear-adaptive-filtering area reached a maturity that justifies a text treating the various methods in a unified way, emphasizing the algorithms that work well in practical implementation |
Beschreibung: | 1 Online-Ressource (XV, 443 p) |
ISBN: | 9781441986603 |
DOI: | 10.1007/978-1-4419-8660-3 |
Internformat
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Datensatz im Suchindex
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author | Diniz, Paulo Sergio Ramirez |
author_facet | Diniz, Paulo Sergio Ramirez |
author_role | aut |
author_sort | Diniz, Paulo Sergio Ramirez |
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collection | ZDB-2-ENG |
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dewey-full | 621.382 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
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dewey-search | 621.382 |
dewey-sort | 3621.382 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/978-1-4419-8660-3 |
format | Electronic eBook |
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id | DE-604.BV045186265 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:57Z |
institution | BVB |
isbn | 9781441986603 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030575442 |
oclc_num | 1184266815 |
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owner_facet | DE-634 |
physical | 1 Online-Ressource (XV, 443 p) |
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publishDate | 1997 |
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publisher | Springer US |
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series2 | The Springer International Series in Engineering and Computer Science |
spelling | Diniz, Paulo Sergio Ramirez Verfasser aut Adaptive Filtering Algorithms and Practical Implementation by Paulo Sergio Ramirez Diniz Boston, MA Springer US 1997 1 Online-Ressource (XV, 443 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 399 The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno logies for implementing digital signal processing algorithms. The tremendous growth of development in the digital signal processing area has turned some of its specialized areas into fields themselves. If accurate information of the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal. When dealing with signals whose statistical properties are unknown, fixed algorithms do not process these signals efficiently. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing the internal parameters. The adaptive filtering algorithms are essential in many statistical signal processing applications. Although the field of adaptive signal processing has been subject of research for over three decades, it was in the eighties that a major growth occurred in research and applications. Two main reasons can be credited to this growth, the availability of implementation tools and the appearance of early textbooks exposing the subject in an organized form. Presently, there is still a lot of activities going on in the area of adaptive filtering. In spite of that, the theor etical development in the linear-adaptive-filtering area reached a maturity that justifies a text treating the various methods in a unified way, emphasizing the algorithms that work well in practical implementation Engineering Signal, Image and Speech Processing Electrical Engineering Electrical engineering Adaptives Filter (DE-588)4141377-5 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 s Adaptives Filter (DE-588)4141377-5 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781461346609 https://doi.org/10.1007/978-1-4419-8660-3 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Diniz, Paulo Sergio Ramirez Adaptive Filtering Algorithms and Practical Implementation Engineering Signal, Image and Speech Processing Electrical Engineering Electrical engineering Adaptives Filter (DE-588)4141377-5 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
subject_GND | (DE-588)4141377-5 (DE-588)4113314-6 |
title | Adaptive Filtering Algorithms and Practical Implementation |
title_auth | Adaptive Filtering Algorithms and Practical Implementation |
title_exact_search | Adaptive Filtering Algorithms and Practical Implementation |
title_full | Adaptive Filtering Algorithms and Practical Implementation by Paulo Sergio Ramirez Diniz |
title_fullStr | Adaptive Filtering Algorithms and Practical Implementation by Paulo Sergio Ramirez Diniz |
title_full_unstemmed | Adaptive Filtering Algorithms and Practical Implementation by Paulo Sergio Ramirez Diniz |
title_short | Adaptive Filtering |
title_sort | adaptive filtering algorithms and practical implementation |
title_sub | Algorithms and Practical Implementation |
topic | Engineering Signal, Image and Speech Processing Electrical Engineering Electrical engineering Adaptives Filter (DE-588)4141377-5 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd |
topic_facet | Engineering Signal, Image and Speech Processing Electrical Engineering Electrical engineering Adaptives Filter Digitale Signalverarbeitung |
url | https://doi.org/10.1007/978-1-4419-8660-3 |
work_keys_str_mv | AT dinizpaulosergioramirez adaptivefilteringalgorithmsandpracticalimplementation |