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Principles of Adaptive Filters and Self-learning Systems
Kalman and Wiener Filters, Neural Networks, Genetic Algorithms and Fuzzy Logic Systems Together in One Text Book How can a signal be processed for which there are few or no a priori data? Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate cour...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2005.
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| Edición: | 1st ed. 2005. |
| Colección: | Advanced Textbooks in Control and Signal Processing,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 020 | |a 9781846281211 |9 978-1-84628-121-1 | ||
| 024 | 7 | |a 10.1007/b138890 |2 doi | |
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| 100 | 1 | |a Zaknich, Anthony. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Principles of Adaptive Filters and Self-learning Systems |h [electronic resource] / |c by Anthony Zaknich. |
| 250 | |a 1st ed. 2005. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2005. | |
| 300 | |a XXII, 386 p. 95 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Advanced Textbooks in Control and Signal Processing, |x 2510-3814 | |
| 505 | 0 | |a Adaptive Filtering -- Linear Systems and Stochastic Processes -- Modelling -- Optimisation and Least Squares Estimation -- Parametric Signal and System Modelling -- Classical Filters and Spectral Analysis -- Optimum Wiener Filter -- Optimum Kalman Filter -- Power Spectral Density Analysis -- Adaptive Filter Theory -- Adaptive Finite Impulse Response Filters -- Frequency Domain Adaptive Filters -- Adaptive Volterra Filters -- Adaptive Control Systems -- Nonclassical Adaptive Systems -- to Neural Networks -- to Fuzzy Logic Systems -- to Genetic Algorithms -- Adaptive Filter Application -- Applications of Adaptive Signal Processing -- Generic Adaptive Filter Structures. | |
| 520 | |a Kalman and Wiener Filters, Neural Networks, Genetic Algorithms and Fuzzy Logic Systems Together in One Text Book How can a signal be processed for which there are few or no a priori data? Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further investigation. The material is presented in a progression from a short introduction to adaptive systems through modelling, classical filters and spectral analysis to adaptive control theory, nonclassical adaptive systems and applications. Features: • Comprehensive review of linear and stochastic theory. • Design guide for practical application of the least squares estimation method and Kalman filters. • Study of classical adaptive systems together with neural networks, genetic algorithms and fuzzy logic systems and their combination to deal with such complex problems as underwater acoustic signal processing. • Tutorial problems and exercises which identify the significant points and demonstrate the practical relevance of the theory. • PDF Solutions Manual, available to tutors from springeronline.com, containing not just answers to the tutorial problems but also course outlines, sample examination material and project assignments to help in developing a teaching programme and to give ideas for practical investigations. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Control engineering. | |
| 650 | 0 | |a Robotics. | |
| 650 | 0 | |a Automation. | |
| 650 | 0 | |a Electrical engineering. | |
| 650 | 0 | |a Mechanical engineering. | |
| 650 | 0 | |a Engineering. | |
| 650 | 1 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Control, Robotics, Automation. |
| 650 | 2 | 4 | |a Electrical and Electronic Engineering. |
| 650 | 2 | 4 | |a Mechanical Engineering. |
| 650 | 2 | 4 | |a Technology and Engineering. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781848008830 |
| 776 | 0 | 8 | |i Printed edition: |z 9781852339845 |
| 830 | 0 | |a Advanced Textbooks in Control and Signal Processing, |x 2510-3814 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/b138890 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||