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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Bibliographic Details

Published in:	IEEE transactions on circuits and systems. II, Express briefs Vol. 64; no. 6; pp. 730 - 734
Main Authors:	Wang, Shiyuan, Wang, Wanli, Duan, Shukai
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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