Abstract
In this paper, we propose a high speed architecture design methodology for the Under-determined Blind Source Separation (UBSS) algorithm using our recently proposed high speed Discrete Hilbert Transform (DHT) targeting real time applications. In UBSS algorithm, unlike the typical BSS, the number of sensors are less than the number of the sources, which is of more interest in the real time applications. The DHT architecture has been implemented based on sub matrix multiplication method to compute M point DHT, which uses N point architecture recursively and where M is an integer multiples of N. The DHT architecture and state of the art architecture are coded in VHDL for 16 bit word length and ASIC implementation is carried out using UMC 90 - nm technology@V DD = 1V and@1MHZ clock frequency. The proposed architecture implementation and experimental comparison results show that the DHT design is two times faster than state of the art architecture.
Original language | English |
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Title of host publication | 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5408-5411 |
Number of pages | 4 |
ISBN (Electronic) | 9781424492718, 9781424492701 |
DOIs | |
Publication status | Published - 5 Nov 2015 |
Externally published | Yes |
Event | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 Conference number: 37 https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Volume | 2015-November |
ISSN (Print) | 1557-170X |
Conference
Conference | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Abbreviated title | EMBC 2015 |
Country/Territory | Italy |
City | Milan |
Period | 25/08/15 → 29/08/15 |
Internet address |
Keywords
- Blind Source Separation (BSS)
- sensors
- blind