Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

DSP Chip of Compressed Sensing Algorithm for Bio-Sensor Application

Xinping Zhang

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2014-88
May 16, 2014

http://www.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.

Advisor: David Allstot


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://www.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://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-88.html
%F Zhang:EECS-2014-88