Complex Valued Nonlinear Adaptive Filters. Noncircularity, Widely Linear and Neural Models
Книга "Complex Valued Nonlinear Adaptive Filters. Noncircularity, Widely Linear and Neural Models"
Авторы: Goh Vanessa SuLee
Издатель: John Wiley & Sons Limited
ISBN: 9780470742631
Описание
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.
Характеристики
- параметрPDF
- Наименование Complex Valued Nonlinear Adaptive Filters. Noncircularity, Widely Linear and Neural Models
- Категория знания и навыки/учебная и научная литература/зарубежная образовательная литература
- Авторы Goh Vanessa SuLee
- Издатель John Wiley & Sons Limited
- ISBN 9780470742631
- Тип Книга
- Продавец Литрес
- Актуальность 28.05.2026
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