Determination algorithm of optimal decomposition level based on singular spectrum analysis
Wu Long · Computer Engineering and Applications Journal · 2012
This paper,applying the singular spectral analysis theory to the wavelet threshold denoising algorithm,realizes an adaptive determination algorithm for optimal level of decomposition.Comparing distribution of the singular spectral with noise signals under different SNR environments,it determines the optimal decomposition level based on the singular spectrum characteristics of wavelet coefficients.Being tested,the algorithm can adaptively determine the optimal decomposition level,according to noise interference of noise signals,effectively increasing voice enhancement effect and avoiding unnecessary waste of hardware resources.