The proposal aims to address a daily life problem in entertainment and communication such us noise control. Nowadays, we witness the boom of applications for personal use devices and their massive extension in parallel with the advances of communications and signal processing. In general terms, this proposal is focused on signal processing algorithms and systems which interact with sound environments and use the network of acoustic nodes in an efficient way.
The wireless sensor networks (WSNs) are a cheap and flexible solution for environmental, habitat and industrial monitoring. The proposed active noise control (ANC) project involves “smart” sound processing techniques that include intelligent generation and/or capture of sound signals by using signal processing devices potentially heterogeneous and distributed. In the centralized system the error and reference signals are available for the multichannel controller. The principal investigator (PI) has proposed multiple LMS, Affine Projection, Affine Projection Like algorithms or RLS algorithms for centralized ANC systems. Most of them obtained a good performance for ANC systems, having low communication and computational requirements. However, there is still a clear need for better noise reduction (NR) performance of the distributed algorithms for ANC. We expect that the proposed adaptive distribution algorithms would achieve similar performance with the centralized versions, having low computational requirements and improved scalability in a ring network. Simulations with real acoustic channel responses would be made for a WASN with N single-channel nodes that will support an ANC system composed of N error sensors and N secondary sources and adapt the internal parameters based on latency, real-time computational possibilities and acoustic coupling levels. Time domain or frequency domain techniques, partitioned frequency or partitioned time domain techniques, partial update techniques, proportionate versions will be investigated toot
1. To develop new active noise control algorithms for adaptive distributed networks. New approaches will be investigated by using sparse adaptive algorithms, the division-less and multiplier-less Dichotomous Coordinate Descent (DCD) method, Gauss-Seidel (GS) method, various affine projection (AP) algorithms, AP-like algorithms, proportionate AP or RLS algorithms.
2. To propose new algorithms integrating noise reduction and active noise control approaches for various system identification applications such as digital hearing aids. Also, to investigate the suitability of kernel adaptive algorithms for nonlinear identification.
3. To develop and evaluate an integrated solution for adaptive distributed networks by examining the required number of microphones and loudspeakers that enable real-time implementation and weighting advantages and disadvantages of the investigated algorithms.
IEEE COMM 2018, by: Bucharest | June 14 – 16, 2018, Romanian International Conference on Communications
IEEE Blackseacom 2018, by: Batumi | June 4 - 7, 2018, IEEE International Black Sea Conference on Communications and Networking
EAA Euronoise 2018, by: Hersonissos | May 27 -31, 2018, 11th European Congress and Exposition on Noise Control Engineering
IEEE APSIPA 2017, by: Kuala Lumpur | December 12 – 15, 2017, 9th Asia-Pacific Signal and Information Processing Association Conference
IEEE ICSTCC 2017, by: Sinaia | October 19 – 21, 2017, International Conference on System Theory, Control and Computing
IEEE EUSIPCO 2017, by: KOS | August 28 – September 2, 2017, European Signal Processing Conference
IEEE ICSTCC 2017, by: Sinaia | July 19 - 21, 2017, International Conference on Systems Theory, Control and Computing
IEEE ECAI 2017, by: Targoviste | June 29-July 1, 2017, Electronics, Computers and Artificial Intelligence Conference
IEEE ICSIGSYS 2017, by: Bali | May. 16 - 18, 2017, International Conference on Signals and Systems
We are able to provide valuable scientifically solutions, with nationally and internationally recognition. Learn more about our projects