Blind Source Separation System Using Stochastic Arithmetic on FPGA

Autor:	Michihiro Hori, Michihito Ueda
Rok vydání:	2009
Předmět:	Stochastic arithmetic Computer science Real-time computing Clock rate Electronic engineering Field-programmable gate array Signal Blind signal separation
Zdroj:	Advances in Neuro-Information Processing ISBN: 9783642030390 ICONIP (2)
DOI:	10.1007/978-3-642-03040-6_103
Popis:	We investigated the performance of a blind source separation (BSS) system based on stochastic computing in the case of an aperiodic source signal by both simulation and a field programmable gate array (FPGA) experiment. We confirmed that our BSS system can successfully infer source signals from mixed signals. We show that the system succeeds in separating source signals from mixed signals after about 3.7 seconds at a clock frequency of 32 MHz on an FPGA.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::55c3e01193d89320782fcbc3bb48497d https://doi.org/10.1007/978-3-642-03040-6_103 Zobrazit plný text záznamu