A Rapid Introduction to Adaptive Filtering
In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative metho...
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| Hlavní autoři: | , |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
Cham : Springer Nature |
| Edice: | SpringerBriefs in Electrical and Computer Engineering
|
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • A Rapid Introduction to Adaptive Filtering, Texte imprimé, 9783642302985 • A Rapid Introduction to Adaptive Filtering, Texte imprimé, 9783642303005 |
| LEADER | 03385nam a22003377a 4500 | ||
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| 008 | 130325s2013 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN168316331 | ||
| 020 | |a 9783642302992 | ||
| 041 | 0 | |a eng | |
| 082 | |a 621.382 | ||
| 100 | 1 | |a Vega, Leonardo Rey. | |
| 245 | 1 | 0 | |a A Rapid Introduction to Adaptive Filtering |c by Leonardo Rey Vega, Hernan Rey. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2013. | ||
| 490 | 0 | |a SpringerBriefs in Electrical and Computer Engineering |x 2191-8120 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Wiener Filtering and examples -- Steepest descent procedure -- Stochastic gradient adaptive filtering: LMS (Least Mean Squares), NLMS (Normalized Mean Squares) -- Sign-error algorithm, APA (Affine Projection Algorithms) -- Convergence results -- Applications -- LS (Least Squares) and RLS (Recursive Least Squares) -- Computational complexity and fast implementations -- Applications. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative methods for solving the optimization problem, e.g., the Method of Steepest Descent. By proposing stochastic approximations, several basic adaptive algorithms are derived, including Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS) and Sign-error algorithms. The authors provide a general framework to study the stability and steady-state performance of these algorithms. The affine Projection Algorithm (APA) which provides faster convergence at the expense of computational complexity (although fast implementations can be used) is also presented. In addition, the Least Squares (LS) method and its recursive version (RLS), including fast implementations are discussed. The book closes withthe discussion of several topics of interest in the adaptive filtering field. | ||
| 700 | 1 | |a Rey, Hernan. |4 aut | |
| 776 | 0 | |t A Rapid Introduction to Adaptive Filtering |b Texte imprimé |z 9783642302985 | |
| 776 | 0 | |t A Rapid Introduction to Adaptive Filtering |b Texte imprimé |z 9783642303005 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-30299-2 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-5V367LV2-W |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748074953 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-3-642-30299-2 |z Accès Université d'Orléans | |
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