A Study of the - NLMS Algorithm
نویسندگان
چکیده
In Stereophonic Acoustic Echo Cancellation (SAEC), one of the fundamental problems lies in the misalignment in the lter coe cients due to the two strongly correlated channel-inputs. In this paper, we study the e ect of the normalisation factor, , upon the convergence properties of the two-channel Normalised Least Mean Square ( -NLMS) algorithm, through analysis and simulation studies with real speech datasets. We then show that the optimal choice for may be close to the variance of the channel-input data. Finally, a subband stereo echo canceller structure which uses a combination of the two-channel -NLMS and the Fast Least Squares (FLS) algorithms is proposed as a practical and promising solution to SAEC.
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