Gustafsson F. Adaptive Filtering and Change Detection

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размер 3.85 МБ
добавлен 08 сентября 2011 г.

Baffins Lane, John Wiley & Sons, 2000. - 498 p.

В книге рассмотрены вопросы адаптивной фильтрации и обнаружения изменений, включая параметрические и непараметрические методы оценивания, фильтры Калмана, статистические и алгебраические методы. Рассмотрено применение в задачах связи.

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Digital Signal Processing Workshop, 2002 and the 2nd Signal Processing Education Workshop. Proceedings of 2002 IEEE 10th. On pages: 168-173. Adaptive filters are ubiquitous tools for numerous real-world scientific and industrial applications. Many educators and practitioners employ the Matlab technical computing environment to implement and study adaptive filters. This paper describes the design and implementation issues regarding a recently-dev...

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Издательство InTech, 2011, -410 pp. Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as: prediction, system identification and modeling, equalization (deconvolution, reverse filtering, inverse modeling), cancellation of interference, etc....

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Издательство InTech, 2009, -604 pp. The discussion about the manned spacecraft program was initiated at NASA in 1959. Only one year later, Dr. Kalman and Dr. Schmidt linked the linear Kalman filter and the perturbation theory in order to obtain the Kalman-Schmidt filter, currently known as the extended Kalman filter. This approach would be implemented in 1961 using an IBM 704 computer (running at approximately 4000 operations per second) for si...

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Дисертация

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Диссертация, Helsinki University of Technology, 2002, -213 pp. This thesis develops new adaptive filtering algorithms suitable for communications applications with the aim of reducing the computational complexity of the implementation. Low computational complexity of the adaptive filtering algorithm can, for example, reduce the required power consumption of the implementation. A low power consumption is important in wireless applications, partic...