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An efficient data-reusing kernel adaptive filtering algorithm based on Parallel HYperslab Projection along Affine Subspaces

Published • May 1, 2013
NobleIDNI9P52W48R35S14
Authors:
Masa-aki Takizawa
,
Masahiro Yukawa

Abstract

We propose a novel kernel adaptive filtering algorithm, dubbed Parallel HYperslab Projection along Affine Sub-Spaces (Φ-PASS), which reuses observed data efficiently. We first derive its fully-updating version that projects the current filter onto multiple hyperslabs in parallel along the dictionary...

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