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Adaptive regularization matrix for affine projection algorithm
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DOI：10.1109/TCSII.2007.906931.png)
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摘要
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We propose an adaptive regularized affine projection algorithm (AR-APA) with a regularization matrix. Instead of the conventional fixed and weighted identity matrix for regularization, the proposed AR-APA incorporates a nonidentity regularization matrix which is dynamically updated. The adaptation of the regularization matrix is accomplished by the normalized stochastic gradient of mean-square error. Consequently, an efficient and robust APA is derived. Experimental results comparing the proposed AR-APA to the conventional algorithms clearly indicate its superior performance.
Keyword:
adaptive regularization matrix
affine projection algorithms (APAs)
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