Intelligent signal processing:
"IEEE Press is proud to present the first selected reprint volume devoted to the new field of intelligent signal processing (ISP). ISP differs fundamentally from the classical approach to statistical signal processing in that the input-output behavior of a complex system is modeled by using &qu...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York
IEEE Press
c2001
|
| Schlagworte: | |
| Online-Zugang: | FHI01 FHN01 Volltext |
| Zusammenfassung: | "IEEE Press is proud to present the first selected reprint volume devoted to the new field of intelligent signal processing (ISP). ISP differs fundamentally from the classical approach to statistical signal processing in that the input-output behavior of a complex system is modeled by using "intelligent" or "model-free" techniques, rather than relying on the shortcomings of a mathematical model. Information is extracted from incoming signal and noise data, making few assumptions about the statistical structure of signals and their environment. Intelligent Signal Processing explores how ISP tools address the problems of practical neural systems, new signal data, and blind fuzzy approximators. The editors have compiled 20 articles written by prominent researchers covering 15 diverse, practical applications of this nascent topic, exposing the reader to the signal processing power of learning and adaptive systems. This essential reference is intended for researchers, professional engineers, and scientists working in statistical signal processing and its applications in various fields such as humanistic intelligence, stochastic resonance, financial markets, optimization, pattern recognition, signal detection, speech processing, and sensor fusion. Intelligent Signal Processing is also invaluable for graduate students and academics with a background in computer science, computer engineering, or electrical engineering. About the Editors Simon Haykin is the founding director of the Communications Research Laboratory at McMaster University, Hamilton, Ontario, Canada, where he serves as university professor. His research interests include nonlinear dynamics, neural networks and adaptive filters and their applications in radar and communications systems. Dr. Haykin is the editor for a series of books on "Adaptive and Learning Systems for Signal Processing, Communications and Control" (Publisher) and is both an IEEE Fellow and Fellow of the Royal Society of Canada. Bart Kosko is a past director of the University of Southern California's (USC) Signal and Image Processing Institute. He has authored several books, including Neural Networks and Fuzzy Systems, Neural Networks for Signal Processing (Publisher, copyright date) and Fuzzy Thinking (Publisher, copyright date), as well as the novel Nanotime (Publisher, copyright date). Dr. Kosko is an elected governor of the International Neural Network Society and has chaired many neural and fuzzy system conferences. Currently, he is associate professor of electrical engineering at USC." |
| Beschreibung: | "A selected reprint volume.". - "IEEE order no. PC5860."--T.p. verso Description based on PDF viewed 12/21/2015 |
| Beschreibung: | 1 Online-Resource (xxi, 573 pages) illustrations (some color), 2 pages of plates |
| ISBN: | 9780470544976 |
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| 520 | |a "IEEE Press is proud to present the first selected reprint volume devoted to the new field of intelligent signal processing (ISP). ISP differs fundamentally from the classical approach to statistical signal processing in that the input-output behavior of a complex system is modeled by using "intelligent" or "model-free" techniques, rather than relying on the shortcomings of a mathematical model. Information is extracted from incoming signal and noise data, making few assumptions about the statistical structure of signals and their environment. Intelligent Signal Processing explores how ISP tools address the problems of practical neural systems, new signal data, and blind fuzzy approximators. The editors have compiled 20 articles written by prominent researchers covering 15 diverse, practical applications of this nascent topic, exposing the reader to the signal processing power of learning and adaptive systems. | ||
| 520 | |a This essential reference is intended for researchers, professional engineers, and scientists working in statistical signal processing and its applications in various fields such as humanistic intelligence, stochastic resonance, financial markets, optimization, pattern recognition, signal detection, speech processing, and sensor fusion. Intelligent Signal Processing is also invaluable for graduate students and academics with a background in computer science, computer engineering, or electrical engineering. About the Editors Simon Haykin is the founding director of the Communications Research Laboratory at McMaster University, Hamilton, Ontario, Canada, where he serves as university professor. His research interests include nonlinear dynamics, neural networks and adaptive filters and their applications in radar and communications systems. Dr. | ||
| 520 | |a Haykin is the editor for a series of books on "Adaptive and Learning Systems for Signal Processing, Communications and Control" (Publisher) and is both an IEEE Fellow and Fellow of the Royal Society of Canada. Bart Kosko is a past director of the University of Southern California's (USC) Signal and Image Processing Institute. He has authored several books, including Neural Networks and Fuzzy Systems, Neural Networks for Signal Processing (Publisher, copyright date) and Fuzzy Thinking (Publisher, copyright date), as well as the novel Nanotime (Publisher, copyright date). Dr. Kosko is an elected governor of the International Neural Network Society and has chaired many neural and fuzzy system conferences. Currently, he is associate professor of electrical engineering at USC." | ||
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Datensatz im Suchindex
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| dewey-search | 621.382/2 |
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| id | DE-604.BV046418297 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:44:05Z |
| institution | BVB |
| isbn | 9780470544976 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031830769 |
| oclc_num | 1141144629 |
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| owner_facet | DE-573 DE-92 |
| physical | 1 Online-Resource (xxi, 573 pages) illustrations (some color), 2 pages of plates |
| psigel | ZDB-35-WEL |
| publishDate | 2001 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | IEEE Press |
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| spelling | Intelligent signal processing edited by Simon Haykin, Bart Kosko New York IEEE Press c2001 1 Online-Resource (xxi, 573 pages) illustrations (some color), 2 pages of plates txt rdacontent c rdamedia cr rdacarrier "A selected reprint volume.". - "IEEE order no. PC5860."--T.p. verso Description based on PDF viewed 12/21/2015 "IEEE Press is proud to present the first selected reprint volume devoted to the new field of intelligent signal processing (ISP). ISP differs fundamentally from the classical approach to statistical signal processing in that the input-output behavior of a complex system is modeled by using "intelligent" or "model-free" techniques, rather than relying on the shortcomings of a mathematical model. Information is extracted from incoming signal and noise data, making few assumptions about the statistical structure of signals and their environment. Intelligent Signal Processing explores how ISP tools address the problems of practical neural systems, new signal data, and blind fuzzy approximators. The editors have compiled 20 articles written by prominent researchers covering 15 diverse, practical applications of this nascent topic, exposing the reader to the signal processing power of learning and adaptive systems. This essential reference is intended for researchers, professional engineers, and scientists working in statistical signal processing and its applications in various fields such as humanistic intelligence, stochastic resonance, financial markets, optimization, pattern recognition, signal detection, speech processing, and sensor fusion. Intelligent Signal Processing is also invaluable for graduate students and academics with a background in computer science, computer engineering, or electrical engineering. About the Editors Simon Haykin is the founding director of the Communications Research Laboratory at McMaster University, Hamilton, Ontario, Canada, where he serves as university professor. His research interests include nonlinear dynamics, neural networks and adaptive filters and their applications in radar and communications systems. Dr. Haykin is the editor for a series of books on "Adaptive and Learning Systems for Signal Processing, Communications and Control" (Publisher) and is both an IEEE Fellow and Fellow of the Royal Society of Canada. Bart Kosko is a past director of the University of Southern California's (USC) Signal and Image Processing Institute. He has authored several books, including Neural Networks and Fuzzy Systems, Neural Networks for Signal Processing (Publisher, copyright date) and Fuzzy Thinking (Publisher, copyright date), as well as the novel Nanotime (Publisher, copyright date). Dr. Kosko is an elected governor of the International Neural Network Society and has chaired many neural and fuzzy system conferences. Currently, he is associate professor of electrical engineering at USC." Signal processing Digital techniques Intelligent control systems Adaptive signal processing Lernendes System (DE-588)4120666-6 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Intelligenter Sensor (DE-588)4293453-9 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 s Lernendes System (DE-588)4120666-6 s Intelligenter Sensor (DE-588)4293453-9 s 1\p DE-604 Haykin, Simon S. Sonstige oth Kosko, Bart Sonstige oth Erscheint auch als Druck-Ausgabe 9780780360105 https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5265588 Aggregator URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Intelligent signal processing Signal processing Digital techniques Intelligent control systems Adaptive signal processing Lernendes System (DE-588)4120666-6 gnd Signalverarbeitung (DE-588)4054947-1 gnd Intelligenter Sensor (DE-588)4293453-9 gnd |
| subject_GND | (DE-588)4120666-6 (DE-588)4054947-1 (DE-588)4293453-9 |
| title | Intelligent signal processing |
| title_auth | Intelligent signal processing |
| title_exact_search | Intelligent signal processing |
| title_full | Intelligent signal processing edited by Simon Haykin, Bart Kosko |
| title_fullStr | Intelligent signal processing edited by Simon Haykin, Bart Kosko |
| title_full_unstemmed | Intelligent signal processing edited by Simon Haykin, Bart Kosko |
| title_short | Intelligent signal processing |
| title_sort | intelligent signal processing |
| topic | Signal processing Digital techniques Intelligent control systems Adaptive signal processing Lernendes System (DE-588)4120666-6 gnd Signalverarbeitung (DE-588)4054947-1 gnd Intelligenter Sensor (DE-588)4293453-9 gnd |
| topic_facet | Signal processing Digital techniques Intelligent control systems Adaptive signal processing Lernendes System Signalverarbeitung Intelligenter Sensor |
| url | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5265588 |
| work_keys_str_mv | AT haykinsimons intelligentsignalprocessing AT koskobart intelligentsignalprocessing |