Title :
Harmonic Retrieval Based on LS-SVM with Wavelet Kernel
Author :
Zhang, Meng ; Fu, Lihua ; Li, Hongwei
Author_Institution :
Dept. of Comput. Sci., Central China Normal Univ., Wuhan
Abstract :
In this paper, a novel harmonic retrieval scheme is proposed, which is based on least squares support vector machines (LS-SVM). We consider harmonic signals corrupted by additive noises. The harmonic model is expended by wavelet series, and the corresponding parameters are estimated by weighted LS-SVM approach. Wavelet kernel is adopted to enhance the resolution. Simulations performed on synthetic signals show some merits of the proposed method
Keywords :
image enhancement; image resolution; image retrieval; least squares approximations; series (mathematics); support vector machines; wavelet transforms; additive noises; harmonic retrieval scheme; least squares support vector machines; resolution enhancement; synthetic signals; wavelet kernel; wavelet series; Additive noise; Frequency estimation; Kernel; Mathematics; Noise robustness; Parameter estimation; Signal analysis; Signal resolution; Support vector machines; Wavelet analysis;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.344482
