Abstract
Acoustic echo is a most frequent occurrence in modern telecommunication systems. This paper describes the different adaptive filtering algorithms to minimize an unwanted echo and improves quality of speech signals. Adaptive filtering has been an active area of research. Here we are using NLMS, MMAX-NLMS and MMAX-NLMSvss algorithms to analyze speech signal. In both NLMS and MMAX-NLMS algorithms the step size parameter is fixed. That forces a performance compromise between fast convergence and small steady state misadjustment. So, Partial update adaptive algorithms have been proposed by deriving a variable step-size for the MMAX-NLMS algorithm using its mean square deviation. The proposed MMAX-NLMSvss algorithm is tested with speech input signal and the result shows that it has fast convergence time, lower intricacy compared to the NLMS, MMAX-NLMS algorithm.
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Acknowledgments
We are very grateful for the support by the Vishnu Institute of Technology for providing an opportunity to utilize laboratories. We would like to express sincere thanks to Prof. K. Srinivas for providing his guidance and support.
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© 2015 Springer India
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Gubbala, S., Srinivas, K., Orugu, R. (2015). Acoustic Echo Cancellation Using Variable Step Size Based Adaptive Filtering with Performance Measure. In: Kamalakannan, C., Suresh, L., Dash, S., Panigrahi, B. (eds) Power Electronics and Renewable Energy Systems. Lecture Notes in Electrical Engineering, vol 326. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2119-7_15
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DOI: https://doi.org/10.1007/978-81-322-2119-7_15
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Publisher Name: Springer, New Delhi
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Online ISBN: 978-81-322-2119-7
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