Echo Cancellation Using NLMS Adaptive Algorithm
نویسنده
چکیده
-This paper presents the Cancellation of an acoustic echo. Such echo canceller is essential to control the echoes generated by the acoustic coupling between the microphone and loudspeaker in hands free telephones or teleconferencing applications. Conventional acoustic echo canceller encounters problems like slow convergence rate (especially for speech signal) and high computational complexity as the identification of the echo path requires filter with more than a thousand taps. In short the NLMS technique allows high quality acoustic echo cancellation whilst maintaining reasonable computational burden for low cost applications. This is especially the case when the acoustic echo path increases in length.
منابع مشابه
Acoustic Echo Cancellation For Speech And Random Signal Using Estimated Impulse Responses
In this paper, the Acoustic Echo Cancellation (AEC) are investigated by using Finite Impulse Responses Adaptive Filter with the analysis of Mean Square Error (MSE) and its convergence property. It is the result of a project in the course Fundamental of Signal Processing at Chongqing University of Posts and Telecommunications. It focuses on Normalized Least Mean Square (NLMS) algorithm of adapti...
متن کاملGenetic algorithm for Echo cancelling
In this paper, echo cancellation is done using genetic algorithm (GA). The genetic algorithm is implemented by two kinds of crossovers; heuristic and microbial. A new procedure is proposed to estimate the coefficients of adaptive filters used in echo cancellation with combination of the GA with Least-Mean-Square (LMS) method. The results are compared for various values of LMS step size and diff...
متن کاملA short-sort M-Max NLMS partial-update adaptive filter with applications to echo cancellation
Partial-update algorithms reduce adaptive filter complexity by updating only a subset of taps at each iteration. However, they suffer a processing overhead in tap selection that can substantially reduce the computational advantages of partial-update schemes. Short-sort M-Max NLMS (SM-NLMS) addresses this problem by having the advantages of other partial-update schemes but with very low computat...
متن کاملAn optimized NLMS algorithm for system identification
The normalized least-mean-square (NLMS) adaptive filter is widely used in system identification. In this paper, we develop an optimized NLMS algorithm, in the context of a state variable model. The proposed algorithm follows a joint-optimization problem on both the normalized step-size and regularization parameters, in order to minimize the system misalignment. Consequently, it achieves a prope...
متن کاملThe Use of Partial Update Schemes to Reduce Inter-channel Coherence in Adaptive Stereophonic Acoustic Echo Cancellation
The use of partial update adaptive filters for stereophonic acoustic echo cancellation is investigated. The MMax-NLMS algorithm is studied in this context and its inherent robustness to subsampling of the tap-input vector is demonstrated. It is proposed to employ the subsampling of the tap input vector, that is intrinsic to partial update schemes, to decorrelate the two tap-input vectors of the...
متن کامل