Study of Echo Cancellation approach by using Least Mean Square (LMS) Algorithm. (January 2021)

• Record Type: Journal Article
• Authors: PavanKalyan, I.; Jaya Santosh, G.; Prasad, K.H.K.; Nandan, Durgesh
• Is Part Of: Journal of physics. Volume 1714(2020)
• Publication Date: 2021-01
• Subjects: least mean square algorithm (LMS) -- Normalized least mean square (NLMS) -- Noise cancellation (NC) -- Loudspeaker-Enclosure-Microphone (LEM) -- Mean square error (MSE); Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1714/1/012053
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Sound is the origin of communication. We are using sound channel for interaction. The acoustic signal introduces echo signal properties which lead the original signal as error signal. In most of applications the adaptive filters implemented in time domain works quite efficiently. However, the complication of the adaptive filter increases as the impulsive reaction becomes quite large hence it cannot be implemented efficiently in time domain. Acoustic echo cancellation is one example where this can happen. In this paper we will explain about to acoustic cancellation and different methods that are adopted to overcome the interference of noise by using various levels of algorithms and apply it to an error signal and makes solution for the problem, verifies the performance, describe the best and suitable technique which gives most effective results.