Intelligent signal processing / (Record no. 42102)
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| fixed length control field | 08129nam a2201429 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 5265588 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191218152117.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 100317t20152001nyuaf ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780470544976 |
| Qualifying information | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780780360105 |
| Qualifying information | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 047054497X |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1109/9780470544976 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)mat05265588 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (IDAMS)0b000064810c56a8 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TK5102.9 |
| Item number | .I5455 2001eb |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382/2 |
| Edition number | 22 |
| 245 00 - TITLE STATEMENT | |
| Title | Intelligent signal processing / |
| Statement of responsibility, etc. | edited by Simon Haykin, Bart Kosko. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | New York : |
| Name of producer, publisher, distributor, manufacturer | IEEE Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | c2001. |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
| Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2001] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (xxi, 573 pages) : |
| Other physical details | illustrations (some color), 2 pages of plates. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 500 ## - GENERAL NOTE | |
| General note | "A selected reprint volume." |
| 500 ## - GENERAL NOTE | |
| General note | "IEEE order no. PC5860."--T.p. verso. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preface. List of Contributors. Humanistic Intelligence: "Wear Comp" As a New Framework and Application for Intelligent Signal Processing. Adaptive Stochastic Resonance. Learning in the Presence of Noise. Incorporating Prior Information in Machine Learning by Creating Virtual Examples. Deterministic Annealing for Clustering, Compression, Classification, Regression, and Speech recognition. Local Dynamic Modeling with Self-Organizing Maps and Applications to Nonlinear System Identification and Control. A Signal Processing Framework Based on Dynamic Neural Networks with Application to Problems in Adaptation, Filtering and Classification. Semiparametric Support Vector Machines for Nonlinear Model Estimation. Gradient-Based Learning Applied to Document Recognition. Pattern Recognition Using A Family of Design Algorithms Based Upon Generalized Probabilistic Descent Method. An Approach to Adaptive Classification. Reduced-Rank Intelligent Signal Processing with Application to Radar. Signal Detection in a Nonstationary Environment Reformulated as an Adaptive Pattern Classification Problem. Data Representation Using Mixtures of Principal Components. Image Denoising by Sparse Code Shrinkage. Index. About the Editors. |
| 506 1# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "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.". |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on PDF viewed 12/21/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Signal processing |
| General subdivision | Digital techniques. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Intelligent control systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Adaptive signal processing. |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 695 ## - | |
| -- | Accuracy |
| 695 ## - | |
| -- | Acoustics |
| 695 ## - | |
| -- | Aerodynamics |
| 695 ## - | |
| -- | Annealing |
| 695 ## - | |
| -- | Approximation error |
| 695 ## - | |
| -- | Artificial neural networks |
| 695 ## - | |
| -- | Atmospheric modeling |
| 695 ## - | |
| -- | Biographies |
| 695 ## - | |
| -- | Biological system modeling |
| 695 ## - | |
| -- | Chaos |
| 695 ## - | |
| -- | Character recognition |
| 695 ## - | |
| -- | Classification algorithms |
| 695 ## - | |
| -- | Clutter |
| 695 ## - | |
| -- | Complexity theory |
| 695 ## - | |
| -- | Computers |
| 695 ## - | |
| -- | Cost function |
| 695 ## - | |
| -- | Covariance matrix |
| 695 ## - | |
| -- | Current measurement |
| 695 ## - | |
| -- | Data mining |
| 695 ## - | |
| -- | Delay |
| 695 ## - | |
| -- | Distortion measurement |
| 695 ## - | |
| -- | Encapsulation |
| 695 ## - | |
| -- | Encoding |
| 695 ## - | |
| -- | Entropy |
| 695 ## - | |
| -- | Estimation error |
| 695 ## - | |
| -- | Feature extraction |
| 695 ## - | |
| -- | Feedforward neural networks |
| 695 ## - | |
| -- | Fuzzy systems |
| 695 ## - | |
| -- | Gaussian noise |
| 695 ## - | |
| -- | Handwriting recognition |
| 695 ## - | |
| -- | Hardware |
| 695 ## - | |
| -- | Hidden Markov models |
| 695 ## - | |
| -- | Humans |
| 695 ## - | |
| -- | Indexes |
| 695 ## - | |
| -- | Instruments |
| 695 ## - | |
| -- | Kalman filters |
| 695 ## - | |
| -- | Learning |
| 695 ## - | |
| -- | Learning systems |
| 695 ## - | |
| -- | Machine learning |
| 695 ## - | |
| -- | Maximum likelihood estimation |
| 695 ## - | |
| -- | Mediation |
| 695 ## - | |
| -- | Noise |
| 695 ## - | |
| -- | Noise measurement |
| 695 ## - | |
| -- | Noise reduction |
| 695 ## - | |
| -- | Nonlinear dynamical systems |
| 695 ## - | |
| -- | Optimization |
| 695 ## - | |
| -- | Pixel |
| 695 ## - | |
| -- | Predictive models |
| 695 ## - | |
| -- | Principal component analysis |
| 695 ## - | |
| -- | Privacy |
| 695 ## - | |
| -- | Probabilistic logic |
| 695 ## - | |
| -- | Prototypes |
| 695 ## - | |
| -- | Radar |
| 695 ## - | |
| -- | Radar imaging |
| 695 ## - | |
| -- | Radar signal processing |
| 695 ## - | |
| -- | Random variables |
| 695 ## - | |
| -- | Reflection |
| 695 ## - | |
| -- | Signal detection |
| 695 ## - | |
| -- | Signal processing |
| 695 ## - | |
| -- | Signal processing algorithms |
| 695 ## - | |
| -- | Signal representations |
| 695 ## - | |
| -- | Signal to noise ratio |
| 695 ## - | |
| -- | Speech |
| 695 ## - | |
| -- | Speech recognition |
| 695 ## - | |
| -- | Stochastic resonance |
| 695 ## - | |
| -- | Strontium |
| 695 ## - | |
| -- | Support vector machine classification |
| 695 ## - | |
| -- | Support vector machines |
| 695 ## - | |
| -- | Time series analysis |
| 695 ## - | |
| -- | Training |
| 695 ## - | |
| -- | Trajectory |
| 695 ## - | |
| -- | Vector quantization |
| 695 ## - | |
| -- | Vectors |
| 695 ## - | |
| -- | Viterbi algorithm |
| 695 ## - | |
| -- | Wiener filter |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Haykin, Simon S., |
| Dates associated with a name | 1931- |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kosko, Bart. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | John Wiley & Sons, |
| Relator term | publisher. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | IEEE Xplore (Online service), |
| Relator term | distributor. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9780780360105 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to resource |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5265588 |
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