Titlebook: Adaptive Filtering; Algorithms and Pract Paulo S. R. Diniz Textbook 20134th edition Springer Science+Business Media New York 2013 Adaptive

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Luis Camarinha-Matos,Hamideh Afsarmanesh,2]. When new samples of the incoming signals are received at every iteration, the solution for the least-squares problem can be computed in recursive form resulting in the recursive least-squares (RLS) algorithms. The conventional version of these algorithms will be the topic of this chapter.

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https://doi.org/10.1007/978-0-387-35065-3echo) model has a long impulse response, on the order of a few thousand samples [1–6]. In such applications, the adaptive-filtering algorithm entails a large number of computations. In addition, the high order of the adaptive filter affects the convergence speed.

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https://doi.org/10.1007/978-0-387-35065-3mplies in reduction of useful data transmission. In those cases, we should utilize some alternative objective functions applied to the available data as well as some knowledge related to the nature (properties) of the signals involved.

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