Adaptive Filtering by L. Morales

By L. Morales

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These expressions are all second-order approximate. For some well-known adaptive algorithms, such as least-mean-square (LMS) algorithm, least-mean-forth (LMF) algorithm and least-mean-mixed norm (LMMN) algorithm, the proposed results are all the same as those summarized by A. H. Sayed in [11]. ,  -NLMMN and  -NLMP), their steady-state performances are also investigated. In addition, comparisons with tracking ability between LMP algorithm with p  2 and LMS algorithm, show that the superiority of the LMS algorithm over LMP algorithm in Gaussian noise environments, and inferiority in uniformly distributed noise environments.

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