AAFAA - Advances in Adaptive Filtering for Acoustic Applications

نویسنده

  • Cristian Anghel
چکیده

One of the most studied areas for adaptive filtering is the one related to acoustic applications. Both the simplicity of the configuration and the immediate methods to evaluate the performance contributed to the popularity of this binomial pair: adaptive filtering and acoustic applications. Lately, a new step in acoustic application has been made, including the acoustic Multiple Input Multiple Output (MIMO) setups. In this context, we have to compute the inverse of very large matrices, we have to reduce (as much as possible) the echo, even during double-talk periods, and we have to do it with reduced costs. With such configurations, including also stereophonic systems, new approaches as the dichotomous coordinate descent (DCD) iterations were introduced. The objective of the special session Advances in Adaptive Filtering for Acoustic Applications is to identify novel forms of adaptive algorithms, designed for the new acoustic applications reality from the performance point of view, nevertheless efficient from the implementation complexity perspective. In other words, the four included papers present the theoretical models, the efficient implementation solutions and an example of real application. Keywords-adaptive filtering; acoustic applications; VR-RLS;

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تاریخ انتشار 2017