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Author: search.filters.author.Prongnuch, SethakarnSubject: search.filters.subject.Affine projection algorithm

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    Diffusion Affine Projection Sign Least Mean Fourth Algorithm for Distributed Estimation
    (2022-01-01)
    Sitjongsataporn, Suchada
    ;
    Prongnuch, Sethakarn
    ;
    Wiangtong, Theerayod
    The problem of distributed estimation is considered for distributed network. A diffusion model on adaptive affine projection sign algorithm based on least mean fourth algorithm is introduced according to an Adapt-Then-Combine (ATC) design for the distributed framework. Least mean fourth (LMF) algorithm is defined by taking the fourth power of error to against the non-Gaussian environment. An adaptive affine projection sign algorithm based on LMF algorithm is proposed firstly. Then, an ATC diffusion model on adaptive affine projection sign algorithm based on LMF algorithm is presented in terms of the low complexity of sign approach with the order of adaptation and combination, named as ATC-DAPS-LMF. Numerical simulations verify that the proposed algorithm can perform significantly to the conventional affine projection sign algorithm.
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    Diffusion Affine Projection Sign Algorithm based on QR-Decomposition
    (2021-03-10)
    Sitjongsataporn, Suchada
    ;
    Prongnuch, Sethakarn
    ;
    Wiangtong, Theerayod
    In this paper, an Adapt-Then-Combine diffusion strategy on affine projection sign algorithm is presented. Based on the QR-decomposition method, the modified inverse autocorrelation matrix is shortly brief to decrease the computational complexity. The Adapt-Then-Combine diffusion strategy is applied on the low complexity of sign algorithm version of inverse square-root affine projection algorithm including with the adaptation and combination steps. By applying an idea of diffusion adaptation algorithm, we derive a diffused version of an affine projection sign algorithm based on QR-Decomposition, denoted as DiQR-APSA. Experimental results show that the proposed DiQR-APSA can achieve the good performance in comparison with the standard affine projection sign algorithm.