| Title | A GPU-accelerated real-time implementation of TRINICON-BSS for multiple separation units |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Anderson, C.A., Meier S., Kellermann W., Teal P.D., and Poletti M.A. |
| Conference Name | 2014 4th Joint Workshop on Hands-Free Speech Communication and Microphone Arrays, HSCMA 2014 |
| Date Published | 2014 |
| Keywords | Adaptive filtering, Blind source separation, Computational performance, Convolutive mixture, Double precision, Independent component analysis, Microphones, Parallel algorithms, Parallel architectures, Program processors, Real time control, Real-time implementations, Reference implementation, Second order statistics, Sensor array networks, Separation performance |
| Abstract | In this demonstration, a GPU-accelerated implementation of the second-order statistics version of the TRINICON (Triple-N independent component analysis for convolutive mixtures) blind source separation (BSS) algorithm is presented. The single-precision arithmetic separation performance is compared with a double-precision CPU (Central Processing Unit) reference implementation to establish the effect of parallel algorithms and the reduction of floatingpoint precision. Computational performance results are presented for a single 2-channel separation unit and multiple simultaneous 2-channel separation units to study the potential future use in a sensor array network with multiple 2-channel separation units. © 2014 IEEE. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-84904462174&partnerID=40&md5=472a0ca8fe51047b5fff4ee65a34b19c |
| DOI | 10.1109/HSCMA.2014.6843260 |
