A Fuzzy Logic Based Acoustic Echo Cancellation System
Geethu A M1, Smitha K S2
1Geethu A M, Department of Electronics and Communication Engineering, LBS Institute of Technology for Women, Thiruvananthapuram (Kerala), India.
2Smitha K S, Department of Electronics and Communication Engineering, LBS Institute of Technology for Women, Thiruvananthapuram (Kerala), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 178-181 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4205084615/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and 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: Although a handful of inter channel decorrelation procedures have been proposed in the past to mitigate the non-uniqueness and lower the misalignment of adaptive filter, introduced audible distortion limits the performance of adaptive filtering algorithm. In this paper fuzzy based adaptive resampling algorithm has been proposed. The power of fuzzy adaptive resampling is that the amount of de-correlation can be finely controlled by applying fuzzy logic in adaptive filtering algorithm. The proposed procedure expands on the idea of fuzzy based adaptive resampling in the frequency domain that efficiently mitigates the non-uniqueness problem for a multichannel acoustic echo cancellation (AEC) system while introducing minimal distortion to the signal quality. The performance of the system can be evaluated by the true echo return loss enhancement and signal to noise ratio (SNR) per sub-band, to better demonstrate the superiority of proposed procedure over other methods.
Keywords: Fuzzy Adaptive Resampling, Multi-Channel Acoustic Echo Cancellation (AEC), Non-Uniqueness Problem, Resampling
Scope of the Article: Fuzzy Logic