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Adaptive filtering : fundamentals of least mean squares with MATLAB /
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistic...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press, Taylor & Francis,
[2015]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Poularikas, Alexander D., |d 1933- |e author. | |
| 245 | 1 | 0 | |a Adaptive filtering : |b fundamentals of least mean squares with MATLAB / |c Alexander D. Poularikas. |
| 264 | 1 | |a Boca Raton : |b CRC Press, Taylor & Francis, |c [2015] | |
| 264 | 4 | |c ©20 | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (xviii, 343 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Chapter 1. Vectors -- chapter 2. Matrices -- chapter 3. Processing of discrete deterministic signals : discrete systems -- chapter 4. Discrete-time random processes -- chapter 5. The Wiener filter -- chapter 6. Eigenvalues of Rx : properties of the error surface -- chapter 7. Newton's and steepest descent methods -- chapter 8. The least mean-square algorithm -- chapter 9. Variants of least mean-square algorithm. | |
| 520 | |a Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area-the least mean square (LMS) adaptive filter. This largely self-contained text:Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributionsExplains how to find the eigenvalues and eigenvectors of a. | ||
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a MATLAB. |
| 630 | 0 | 7 | |a MATLAB. |2 fast |0 (OCoLC)fst01365096 |
| 650 | 0 | |a Adaptive filters |x Mathematical models. | |
| 650 | 0 | |a Adaptive signal processing |x Mathematics. | |
| 650 | 0 | |a Least squares |x Data processing. | |
| 650 | 6 | |a Filtres adaptatifs |x Modèles mathématiques. | |
| 650 | 6 | |a Traitement adaptatif du signal |x Mathématiques. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Electrical. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Mechanical. |2 bisacsh | |
| 650 | 7 | |a Adaptive filters |x Mathematical models. |2 fast |0 (OCoLC)fst00796493 | |
| 650 | 7 | |a Adaptive signal processing |x Mathematics. |2 fast |0 (OCoLC)fst00796497 | |
| 650 | 7 | |a Least squares |x Data processing. |2 fast |0 (OCoLC)fst00995084 | |
| 776 | 0 | 8 | |i Print version: |a Poularikas, Alexander D., 1933- |t Adaptive filtering. |d Boca Raton : Taylor & Francis, 2014 |z 9781482253351 |w (DLC) 2014027999 |w (OCoLC)884440184 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781482253351/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a EBSCOhost |b EBSC |n 934754 | ||
| 938 | |a Taylor & Francis |b TAFR |n CRC0KE26952PDF | ||
| 938 | |a Taylor & Francis |b TAFR |n 9781315215136 | ||
| 994 | |a 92 |b IZTAP | ||