Now showing items 1-4 of 4

    • A Chip Architecture for Compressive Sensing Based Detection of IC Trojans 

      Tsai, Yi-Min; Huang, Kang-Yen; Kung, H. T.; Vlah, Dario; Gwon, Youngjune Lee; Chen, Liang-Gee (Institute of Electrical and Electronics Engineers, 2012)
      We present a chip architecture for a compressive sensing based method that can be used in conjunction with the JTAG standard to detect IC Trojans. The proposed architecture compresses chip output resulting from a large ...
    • Coding-Based System Primitives for Airborne Cloud Computing 

      Lin, Chit-Kwan (2013-02-25)
      The recent proliferation of sensors in inhospitable environments such as disaster or battle zones has not been matched by in situ data processing capabilities due to a lack of computing infrastructure in the field. We ...
    • Compressed Statistical Testing and Application to Radar 

      Chen, Hsieh-Chung; Kung, H. T.; Wicks, Michael C. (2012-12-06)
      We present compressed statistical testing (CST) with an illustrative application to radar target detection. We characterize an optimality condition for a compressed domain test to yield the same result as the corresponding ...
    • Measurement Combining and Progressive Reconstruction in Compressive Sensing 

      Chen, Kevin; Kung, H. T.; Vlah, Dario; Suter, Bruce (Institute of Electrical and Electronics Engineers, 2011)
      Compressive sensing has emerged as an important new technique in signal acquisition due to the surprising property that a sparse signal can be captured from measurements obtained at a sub-Nyquist rate. The decoding cost ...