Titlebook: Adaptive Filtering; Algorithms and Pract Paulo Sergio Ramirez Diniz Book 1997 Springer Science+Business Media New York 1997 Adaptive Filter

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Fazit Aus Sicht der Herausgeberective of the alternative LMS-based algorithms is either to reduce computational complexity or convergence time. In this chapter, four LMS-based algorithms are presented and analyzed, namely, the quantized-error algorithms [.]–[.], the frequency-domain (or transform-domain) LMS algorithm [.]–[.], th

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Fazit Aus Sicht der Herausgeberalization are very attractive because they allow modular implementation and require a reduced number of arithmetic operations (of order .) [.]–[.]. As a consequence, the lattice recursive least-squares (LRLS) algorithms are considered fast implementations of the RLS problem.

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https://doi.org/10.1007/978-3-658-03515-0e leastsquares (RLS) previously discussed. The main advantages brought about by the recursive least-squares algorithm based on QR decomposition are its possible implementation in systolic arrays [.]–[.] and its improved numerical behavior when quantization effects are taken into account [.].

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The Least-Mean-Square (LMS) Algorithm,nungs-, Immobilien- und Kreditwirtschaft werden anschließend zinssichernde Swapgeschäfte skizziert. Das Buch schließt mit der konkreten Idee zur Gründung einer eigenen Wohnungswirtschaftsbank. Mit Übungsaufgaben zur eigenständigen Reflexion der Themen.978-3-658-22579-7

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