Unsupervised Adaptive Filtering, Blind Deconvolution by Simon Haykin
A complete, one-stop reference on the state of the art of unsupervised adaptive filtering While unsupervised adaptive filtering has its roots in the 1960s, more recent advances in signal processing, information theory, imaging, and remote sensing have made this a hot area for research in several diverse fields.-
Complex Valued Nonlinear Adaptive Filters
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Independent Component Analysis
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Handbook on Array Processing and Sensor Networks
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Space-Time Layered Information Processing for Wireless Communications
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Least-Mean-Square Adaptive Filters
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Recurrent Neural Networks for Prediction
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Stable Adaptive Control and Estimation for Nonlinear Systems
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Adaptive Control of Systems with Actuator and Sensor Nonlinearities
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Kalman Filtering and Neural Networks
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Radio Resource Management in Multi-Tier Cellular Wireless Networks
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Regularized Radial Basis Function Networks
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Nonlinear Dynamical Systems
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Robust Systems Theory and Applications
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Principal Component Neural Networks
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Acoustic Echo and Noise Control
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Data-Variant Kernel Analysis
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The Roots of Backpropagation
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Adaptive Control Design and Analysis
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Intelligent Image Processing
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Fuzzy And Neural Approaches in Engineering
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Nonlinear and Adaptive Control Design
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Kernel Adaptive Filtering
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Adaptive Signal Processing
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Correlative Learning
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Statistical Learning Theory
SIMON HAYKIN, PhD, is University Professor and Director of the Adaptive Systems Laboratory at McMaster University.
| SKU | Unavailable |
| ISBN 13 | 9780471379416 |
| ISBN 10 | 0471379417 |
| Title | Unsupervised Adaptive Filtering, Blind Deconvolution |
| Author | Simon Haykin |
| Series | Adaptive And Cognitive Dynamic Systems: Signal Processing Learning Communications And Control |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley-Interscience |
| Year published | 2000-04-22 |
| Number of pages | 200 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |