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Adaptive filter theory Simon Haykin
Publisher: PH

Adaptive Filter Theory, 4th ed. Linear Circuits: Systems and Signal Processing: Advanced Theory. Despite the vast amount of theoretical research and simulation studies published on the subject of array signal processing[6], there are very few studies, which have dealt the performances analysis of the channel estimation under Non-linear channel and Non-Guassian Noisy conditions. Adaptive Iir Filtering in Signal Processing and Control - P. Haykin examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR) and the el ements of supervised neural networks. Englewood Cliffs, New Jersey: Prentice Hall. This article introduces the concept of adaptive filters and least mean square (LMS) adaptive algorithms. Moreover Thus, a Kalman filter is optimum for either of the two channel conditions, in the sense that it can give the minimum mean- square error in the adaptive adjustment of the receiver. This article includes a demo that you can use . Courses in adaptive signal processing and adaptive filters.. This article also introduces the implementation of the LMS finite impulse response (FIR) adaptive filter by using LabVIEW and the performance indicators of adaptive filters.