Nonlinear backward ADPCM speech coding using kernel methods and online sparsification

ABSTRACTModeling using neural networks and Volterra expansion are widely used in signal processing to account for nonlinear characteristics inherent in natural signals. In spite of their good performance in a wide range of applications, adaptive implementations of these models suffer from severe pro...

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Veröffentlicht in:	Transactions on emerging telecommunications technologies 2014-02, Vol.25 (2), p.161-172
Hauptverfasser:	Alipoor, Ghasem, Savoji, Mohammad Hassan
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive differential pulse code modulation kernel adaptive filtering algorithms kernel least mean square algorithm kernel least-squares algorithms kernel methods speech coding
Online-Zugang:	Volltext
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