| Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models Contributor(s): Mandic, Danilo P. (Author), Goh, Vanessa Su Lee (Author) |
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ISBN: 0470066350 ISBN-13: 9780470066355 Publisher: Wiley OUR PRICE: $142.45 Product Type: Hardcover - Other Formats Published: June 2009 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Science | Waves & Wave Mechanics - Technology & Engineering | Telecommunications |
| Dewey: 621.382 |
| LCCN: 2009001965 |
| Series: Adaptive and Learning Systems for Signal Processing, Communications and Control |
| Physical Information: 1" H x 6.8" W x 9.8" (1.65 lbs) 344 pages |