Complex Valued Nonlinear Adaptive Filters Noncircularity, Widely Linear and Neural Models
| Author/creator | Mandic, Danilo Author |
| Other author | Goh, Vanessa (Su Lee) Author |
| Format | Electronic |
| Publication Info | Chichester : John Wiley & Sons, Limited Boulder : NetLibrary, Incorporated [Distributor] |
| Description | 344 p. 24.400 x 016.800 cm. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Series | Adaptive and Learning Systems for Signal Processing, Communications and Control Ser. |
| Summary | 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. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9780470742631 |
| ISBN | 0470742631 (E-Book) Active Record |
| Standard identifier# | 9780470742631 |
| Stock number | 00597025 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |