Handbook on Array Processing and Sensor Networks by Simon Haykin
A collection of tutorial articles on recent advancements and state-of-the-art results Provides a comprehensive overview of sensor and array processing. Covers fundamental principles as well as applications. Features some of the most prominent researchers from different centers in North America and Europe.-
Complex Valued Nonlinear Adaptive Filters
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering
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Independent Component Analysis
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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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Unsupervised Adaptive Filtering, Blind Deconvolution
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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
"The book's 28 chapters are written mostly in a tutorial styleThus, they will particularly benefit students and newcomers to any of the application fields detailed in Parts 2 and 4." (Computing Reviews, June 2010)
"Haykin and Liu's book is a very useful tool, not only for researchers and experts in the field, but also for graduate students interested in advanced signal processing and networking topics." (Computing Reviews, June 2010)
"Haykin and Liu's book is a very useful tool, not only for researchers and experts in the field, but also for graduate students interested in advanced signal processing and networking topics." (Computing Reviews, June 2010)
Simon Haykin, PhD, is a Distinguished University Professor at McMaster University, Hamilton, Ontario. K. J. Ray Liu is a Distinguished Scholar-Teacher at the University of Maryland, College Park. He is the recipient of numerous honors and awards including best paper awards from IEEE Signal Processing Society, IEEE Vehicular Technology Society, and EURASIP, as well as recognition from the University of Maryland, including Invention of the Year Award, Poole and Kent Senior Faculty Teaching Award, and Outstanding Faculty Research Award. Dr. Liu is a Fellow of the IEEE and AAAS.
| SKU | Unavailable |
| ISBN 13 | 9780470371763 |
| ISBN 10 | 0470371765 |
| Title | Handbook on Array Processing and Sensor Networks |
| Author | Simon Haykin |
| Series | Adaptive And Cognitive Dynamic Systems: Signal Processing Learning Communications And Control |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley-IEEE Press |
| Year published | 2010-01-28 |
| Number of pages | 924 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |