| Title:
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KERNEL ADAPTIVE FILTERING
A COMPREHENSIVE INTRODUCTION |
| By: |
Weifeng Liu, Jose C. Principe, Simon S. Haykin |
| Format: |
Hardback |
| List price:
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£105.95 |
| Our price: |
£95.36 |
| Discount: |
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| You save:
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£10.59 |
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| ISBN 10: |
0470447532 |
| ISBN 13: |
9780470447536 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
JOHN WILEY AND SONS LTD |
| Pub. date: |
1 March, 2010 |
| Series: |
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, |
| Pages: |
240 |
| Description: |
On-line learning is a fundamental tool in adaptive signal processingPresents on-line learning from a signal processing perspective. |
| Synopsis: |
Reproducing kernel Hilbert spaces is a topic of great current interest for applications in signal processing, communications, and controls The first book to explain real-time learning algorithms in reproducing kernel Hilbert spaces, On-Line Kernel Learning includes simulations that illustrate the ideas discussed and demonstrate their applicability as well as MATLAB codes for simulations. This book is ideal for professionals and graduate students interested in nonlinear adaptive systems for on-line applications. |
| Publication: |
US |
| Imprint: |
Wiley-Blackwell |
| Returns: |
Returnable |