Xinping Zhang

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2014-88

May 16, 2014

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-88.pdf

To reduce the power consumption of bio-sensors which will be potentially implanted into human body, compressed sensing is introduced by taking advantage of the sparsity of bio-signals. Using 32nm CMOS technology, the prototype is able to achieve 10-bit resolution under power consumption of 320 nW. The clock frequency is 20 kHz. The circuit described below is designed to compress bio-signal in time domain.

Advisors: David Allstot

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BibTeX citation:

@mastersthesis{Zhang:EECS-2014-88,
    Author= {Zhang, Xinping},
    Title= {DSP Chip of Compressed Sensing Algorithm for Bio-Sensor Application},
    School= {EECS Department, University of California, Berkeley},
    Year= {2014},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-88.html},
    Number= {UCB/EECS-2014-88},
    Abstract= {To reduce the power consumption of bio-sensors which will be potentially implanted into human body, compressed sensing is introduced by taking advantage of the sparsity of bio-signals. Using 32nm CMOS technology, the prototype is able to achieve 10-bit resolution under power consumption of 320 nW. The clock frequency is 20 kHz. The circuit described below is designed to compress bio-signal in time domain.},
}

EndNote citation:

%0 Thesis
%A Zhang, Xinping 
%T DSP Chip of Compressed Sensing Algorithm for Bio-Sensor Application
%I EECS Department, University of California, Berkeley
%D 2014
%8 May 16
%@ UCB/EECS-2014-88
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-88.html
%F Zhang:EECS-2014-88