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A 0.6-107 µW Energy-Scalable Processor for Directly Analyzing Compressively-Sensed EEG.
Mohammed Shoaib
Kyong-Ho Lee
Niraj K. Jha
Naveen Verma
Published in:
IEEE Trans. Circuits Syst. I Regul. Pap. (2014)
Keyphrases
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frequency ranges
energy consumption
high speed
parallel processing
multi processor
real time
multiprocessor systems
data sets
energy minimization
energy efficiency
eeg signals
energy saving
highly scalable
event related
minimum energy