SUPPRESSION ACOUSTIC ECHO METHOD OF ADAPTIVE FILTERING BASED ON COMPLEMENTARY MULTIPLE DECOMPOSITION ON EMPIRICAL FASHION

Kvitka Yury Sergeyevich, postgraduate student, Penza State University (40 Krasnaya street, Penza, Russia), alansapfir@yandex.ru
Alimuradov Alan Kazanferovich, candidate of technical sciences, engineer-researcher, scientific research department, Penza State University (40 Krasnaya street, Penza, Russia), alansapfir@yandex.ru
Churakov Petr Pavlovich, doctor of technical sciences, professor, sub-department of information and measuring equipment and metrology, Penza State University (40 Krasnaya street, Penza, Russia), iit@pnzgu.ru
Grachev Andrey Vladimirovich, applicant, head of technical means education department, Penza State University (40 Krasnaya street, Penza, Russia), andean@mail.ru

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Background. Filtering and echo cancellation, deteriorating the intelligibility of useful information and promoting the wrong detection, remain quite relevant for acoustic search devices in a noisy environment. The aim is the realization of sub-band filtering of acoustic signals on the basis of adaptive processing techniques for the use in acoustic devices conducting search operations.
Materials and methods. To implement sub-band adaptive filtering, a method for adaptive decomposition of non-stationary signals has been used, namely, the Empirical Mode Decomposition (EMD) and its modification – the Complementary Ensemble EMD (CEEMD).
Results. A sub-band adaptive filtering algorithm has been developed on the basis of a review of adaptive filtering techniques and decomposition methods. A block diagram of the algorithm with a detailed mathematical description of the filtering stages is presented. An analysis of the algorithm based on the EMD and the CEEMD methods is given, and a comparative analysis of the results is presented.
Conclusions. The sub-band adaptive filtering algorithm based on the CEEMD provides a greater echo cancellation and is recommended for practical use in acoustic search devices.

acoustic echo, sub-band adaptive filtering, Empirical Mode Decomposition, Complementary Ensemble Empirical Mode Decomposition.