TY - GEN
T1 - A novel grading noise-pretreatment algorithm based on time-frequency blind source separation
AU - Er-Fu, Wang
AU - Nai-Tong, Zhang
AU - Wei-Xiao, Meng
PY - 2008
Y1 - 2008
N2 - The blind source separation (BSS) problem under noise is known as a hard problem. The performance of separation algorithm degrades with the decrease of SNR significantly. The key solution is the noise pretreatment. Wavelet transform (WT) and empirical mode decomposition (EMD), two typical analysis methods especially for the processing practical nonstationarity signals in time-frequency domain, are chosen as the pretreatment methods in this paper. Based on the analysis of the denoising performances by the two methods, a grading noise-pretreatment project is proposed which automatically selects a method according to different SNR. Simulation results shows that such flexible scheme could enhance the BSS performance by effectively denoising, and also makes the existing blind source separation apply to larger range of SNR and enhances the robustness of algorithm.
AB - The blind source separation (BSS) problem under noise is known as a hard problem. The performance of separation algorithm degrades with the decrease of SNR significantly. The key solution is the noise pretreatment. Wavelet transform (WT) and empirical mode decomposition (EMD), two typical analysis methods especially for the processing practical nonstationarity signals in time-frequency domain, are chosen as the pretreatment methods in this paper. Based on the analysis of the denoising performances by the two methods, a grading noise-pretreatment project is proposed which automatically selects a method according to different SNR. Simulation results shows that such flexible scheme could enhance the BSS performance by effectively denoising, and also makes the existing blind source separation apply to larger range of SNR and enhances the robustness of algorithm.
KW - Blind Source Separation
KW - Empirical Mode Decomposition
KW - Grading Noise-pretreatment
KW - Time-frequency Analysis
KW - Wavelet Transform
UR - https://www.scopus.com/pages/publications/54049148611
U2 - 10.1109/IIH-MSP.2008.68
DO - 10.1109/IIH-MSP.2008.68
M3 - 会议稿件
AN - SCOPUS:54049148611
SN - 9780769532783
T3 - Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
SP - 1225
EP - 1228
BT - Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
T2 - 2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
Y2 - 15 August 2008 through 17 August 2008
ER -