A Class of Weighted Quantized Kernel Recursive Least Squares Algorithms

In this brief, a class of weighted quantized kernel recursive least squares (WQKRLS) algorithms is proposed to efficiently improve the performance of online applications. In the proposed WQKRLS, an online vector quantization with weighted outputs is incorporated into quantized kernel recursive least...

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Vydané v:	IEEE transactions on circuits and systems. II, Express briefs Ročník 64; číslo 6; s. 730 - 734
Hlavní autori:	Wang, Shiyuan, Wang, Wanli, Duan, Shukai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive dictionary Algorithms Circuits and systems Computational efficiency Computer simulation Dictionaries Kernel Least squares method Measurement Performance enhancement quantized kernel recursive least squares (QKRLS) Smoothing methods sparsification Steepest descent method Vector quantization
ISSN:	1549-7747, 1558-3791
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