Acoustic Echo Cancellation Using Conventional Adaptive Algorithms
Raghava Yathiraju, Vice Principal, St.Mary’s Group of Institutions. Guntur, India.
Manuscript received on November 02, 2013. | Revised Manuscript Received on November 15, 2013. | Manuscript published on November 20, 2013. | PP: 18-24 | Volume-1, Issue-12, November 2013. | Retrieval Number: L03581111213/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An adaptive filter is a filter that self-adjusts its transfer function according to an optimization algorithm driven by an error signal.Because of the complexity of the optimization algorithms,most adaptive filters are digital filters.Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide range of applications, including , adaptive noise cancellation, echo cancellation, adaptive equalization and adaptive beamforming. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. The signal interference caused by acoustic echo is distracting to users and causes a reduction in the quality of the communication. This paper focuses on the use of Least Mean Square (LMS), Normalised Least Mean Square (NLMS), Variable Step-Size Least Mean Square (VSLMS), Variable Step-Size Normalised Least Mean Square (VSNLMS) and Recursive Least Square (RLS) algorithms to reduce this unwanted echo, thus increasing communication quality.
Keywords: Adaptive filters, Echo, Adaptive algorithms, Echo cancellation, Acoustic echo cancellation.