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Real-Time and Low-Power Streaming Source Separation Using M..:
Ko, Glenn G.
;
Rutenbar, Rob A.
ACM Journal on Emerging Technologies in Computing Systems (JETC). 14 (2018) 2 - p. 1-22 , 2018
Link:
https://dl.acm.org/doi/10.1145/3183351
RT Journal T1 <Title>Real-Time and Low-Power Streaming Source Separation Using Markov Random Field</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3183351&Exemplar=1&LAN=DE A1 Ko, Glenn G. A1 Rutenbar, Rob A. PB ACM YR 2018 SN 1550-4832 SN 1550-4840 K1 Gibbs sampling K1 Markov random field K1 Real-time streaming K1 blind source separation K1 maximum a posteriori inference K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning in probabilistic graphical models K1 Hardware K1 Very large scale integration design K1 Application-specific VLSI designs K1 Application specific integrated circuits K1 Integrated circuits K1 Reconfigurable logic and FPGAs K1 Hardware accelerators JF ACM Journal on Emerging Technologies in Computing Systems (JETC) VO 14 IS 2 SP 1 OP 22 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3183351 DO https://dl.acm.org/doi/10.1145/3183351 SF ELIB - SuUB Bremen
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