Quantised kernel least mean square with desired signal smoothing

The quantised kernel least mean square (QKLMS) is a simple yet efficient online learning algorithm, which reduces the computational cost significantly by quantising the input space to constrain the growth of network size. The QKLMS considers only the input space compression and assumes that the desi...

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Veröffentlicht in:	Electronics letters 2015-09, Vol.51 (18), p.1457-1459
Hauptverfasser:	Xu, Xiguang, Qu, Hua, Zhao, Jihong, Yang, Xiaohan, Chen, Badong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computational efficiency Computer simulation Data compression desired signal smoothing input space compression Kernels learning (artificial intelligence) Least mean squares Least mean squares algorithm least mean squares methods Monte Carlo methods Monte Carlo simulations online learning algorithm QKLMS quantised kernel least mean square Signal processing Smoothing smoothing methods
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