Harmonic Retrieval Based on LS-SVM with Wavelet Kernel

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