Energy-Efficient Multi-Mode Compressed Sensing System for Implantable Neural Recordings
نویسندگان
چکیده
منابع مشابه
Compressed Sensing for Implantable Neural Recordings Using Co-sparse Analysis Model and Weighted ℓ1-Optimization
Reliable and energy-efficient wireless data transmission remains a major challenge in resourceconstrained wireless neural recording tasks, where data compression is generally adopted to relax the burdens on the wireless data link. Recently, Compressed Sensing (CS) theory has successfully demonstrated its potential in neural recording application. The main limitation of CS, however, is that the ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Biomedical Circuits and Systems
سال: 2014
ISSN: 1932-4545,1940-9990
DOI: 10.1109/tbcas.2014.2359180