Title :
An introduction to EIP-NLMS post-processing method for cross-talk cancellation in BSS outputs
Author :
Noohi, Tahereh ; Shabani, Hasti ; Kahaei, Mohammad Hossein
Author_Institution :
Signal & Syst. Modeling Lab., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
In this paper, we propose a new post-processing method to suppress the residual cross-talk of Blind Source Separation (BSS) outputs. This method relies on the existence of the so called Exclusive Inactivity Periods (EIPs) in the source signals during which all sources are active except one. After detecting EIPs, we use the Normalized Least-Mean-Square (NLMS) algorithm to estimate the cross-talk in these regions. Simulation results show the ability of the proposed method in suppressing the residual cross-talk without distorting the target signal and improving the SIR about 3 dB compared to the NLMS post-processing.
Keywords :
blind source separation; crosstalk; least mean squares methods; BSS outputs; EIP-NLMS post processing method; blind source separation outputs; crosstalk cancellation; exclusive inactivity periods; normalized least-mean-square algorithm; Blind source separation; Crosstalk; Distortion; Frequency estimation; Modeling; Reverberation; Signal resolution; Source separation; Speech; Time frequency analysis; Blind Source Separation; Exclusive Inactivity Periods (EIPs); NLMS algorithm; post-processing;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451823