New Normalized Least Mean M-estimate Algorithm for Stereophonic Acoustic Echo Cancellation
This paper proposes a new robust adaptive filtering algorithm for stereophonic acoustic echo cancellation in impulsive noise environment The well-known conventional two channel normalized least mean square (TCNLMS) algorithm performs very poorly when either the input or the desired signal is corrupted by impulsive noise.By employing robust M-estimate technique,a new two channel normalized least mean Mestimate (TCNLMM) algorithm is proposed,which only imposes mild additional computational overhead but achieves improved robustness to impulsive noises over its NLMS counterpart.Experiments are also conducted to verify the efficiency of the new algorithm.
adaptive filter stereophonic acoustic echo cancellation robust estimate
Cheng Hui Zhou Yi Li Xiao Dong
Department of Automation Sun Yat-Sen University Guangzhou 510275,China Institute of Acoustics Chinese Academy of Sciences,Beijing 100190,China
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
243-247
2010-03-27(万方平台首次上网日期,不代表论文的发表时间)