A configurable 12-to-237KS/s 12.8mW sparse-approximation engine for mobile ExG data aggregation

Digest of Technical Papers - IEEE International Solid-State Circuits Conference

Volumn 58, Issue , 2015, Pages 334-335

  Ren, Fengbo ^a   Markovic, Dejan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BUDGET CONTROL; COMPRESSED SENSING; ENERGY EFFICIENCY; ENGINES; PROGRAM PROCESSORS;

COMPRESSIVE SENSING; COMPUTING RESOURCE; CONFIGURABLE ARCHITECTURES; ENERGY EFFICIENT; MINIMUM ENERGY POINT; REALTIME PROCESSING; SPARSE APPROXIMATIONS; WIRELESS HEALTH MONITORING;

SIGNAL RECONSTRUCTION;

EID: 84940782753     PISSN: 01936530     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSCC.2015.7063062     Document Type: Conference Paper

References (5)

1. F. Chen, et al., "Design and Analysis of a Hardware-Efficient Compressed Sensing Architecture for Data Compression in Wireless Sensors, " IEEE J. Solid-State Circuits, vol. 47, no. 3, pp. 744-756, 2012.
2. A. Dixon, et al., "Compressed Sensing System Considerations for ECG and EMG Wireless Biosensors, " IEEE Trans. on Biomedical Circuis and Syst., vol. 6, no. 2, pp. 156-166, 2012.
3. P. Maechler, et al., "VLSI Design of Approximate Message Passing for Signal Restoration and Compressive Sensing, " IEEE J. on Emerging and Selected Topics in Circuits and Syst., vol. 2, no. 3, pp. 579-590, 2012.
4. P. Maechler, et al., "Implementation of Greedy Algorithms for LTE Sparse Channel Estimation, " Asian Solid-State Circuits Conf, pp. 400-405, 2010.
5. F. Ren, et al., "A Scalable and Parameterized VLSI Architecture for Compressive Sensing Sparse Approximation, " Electronics Letters, vol. 49, no. 23, pp. 1440-1441, 2013.