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- W2092587983 abstract "It can be shown that the update of the affine projection algorithm (APA) can be decomposed as the sum of two orthogonal vectors. One of these vectors is derived from an l 2 -norm optimization problem while the other one is simply a good initialization vector. By replacing the l 2 -norm optimization with the l k -norm optimization (with 0 < k ≤ 1), we can obtain a class of proportionate APAs (PAPAs). In this context, we evaluate the impact of the different l k -norm optimizations over the performance of the PAPAs." @default.
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- W2092587983 date "2012-05-01" @default.
- W2092587983 modified "2023-10-02" @default.
- W2092587983 title "Proportionate affine projection algorithms from a basis pursuit perspective" @default.
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- W2092587983 doi "https://doi.org/10.1109/iscas.2012.6271880" @default.
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