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Item Details
Title:
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COMPLEX VALUED NONLINEAR ADAPTIVE FILTERS
NONCIRCULARITY, WIDELY LINEAR AND NEURAL MODELS |
By: |
Danilo P. Mandic, Vanessa Su Lee Goh |
Format: |
Hardback |

List price:
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£111.95 |
Our price: |
£100.76 |
Discount: |
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You save:
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£11.19 |
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ISBN 10: |
0470066350 |
ISBN 13: |
9780470066355 |
Availability: |
Usually dispatched within 1-3 weeks.
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Stock: |
Currently 0 available |
Publisher: |
JOHN WILEY AND SONS LTD |
Pub. date: |
17 April, 2009 |
Series: |
Adaptive and Learning Systems for Signal Processing, Communications and |
Pages: |
344 |
Description: |
The filtering of real world signals requires an adaptive mode of operation to deal with the statistically nonstationary nature of the data. Feedback and nonlinearity within filtering architectures are needed to cater for long time dependencies and possibly nonlinear signal generating mechanisms. |
Synopsis: |
This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals. |
Illustrations: |
Illustrations |
Publication: |
US |
Imprint: |
Wiley-Blackwell |
Returns: |
Returnable |
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