Jason N. Laska, Ph.D.

Affiliations: 
2011 Rice University, Houston, TX 
Area:
Electronics and Electrical Engineering, Computer Science, Applied Mathematics
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"Jason Laska"

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Richard G. Baraniuk grad student 2011 Rice University
 (Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing.)
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Publications

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Jacques L, Laska JN, Boufounos PT, et al. (2013) Robust 1-Bit compressive sensing via binary stable embeddings of sparse vectors Ieee Transactions On Information Theory. 59: 2082-2102
Davenport MA, Laska JN, Treichler JR, et al. (2012) The pros and cons of compressive sensing for wideband signal acquisition: Noise folding versus dynamic range Ieee Transactions On Signal Processing. 60: 4628-4642
Laska JN, Baraniuk RG. (2012) Regime change: Bit-depth versus measurement-rate in compressive sensing Ieee Transactions On Signal Processing. 60: 3496-3505
Laska JN, Wen Z, Yin W, et al. (2011) Trust, but verify: Fast and accurate signal recovery from 1-Bit compressive measurements Ieee Transactions On Signal Processing. 59: 5289-5301
Slavinsky JP, Laska JN, Davenport MA, et al. (2011) The compressive multiplexer for multi-channel compressive sensing Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3980-3983
Laska JN, Slavinsky JP, Baraniuk RG. (2011) The polyphase random demodulator for wideband compressive sensing Conference Record - Asilomar Conference On Signals, Systems and Computers. 515-519
Laska JN, Boufounos PT, Davenport MA, et al. (2011) Democracy in action: Quantization, saturation, and compressive sensing Applied and Computational Harmonic Analysis. 31: 429-443
Tropp JA, Laska JN, Duarte MF, et al. (2010) Beyond Nyquist: Efficient sampling of sparse bandlimited signals Ieee Transactions On Information Theory. 56: 520-544
Schnelle SR, Laska JN, Hegde C, et al. (2010) Texas hold 'em algorithms for distributed compressive sensing Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2886-2889
Laska JN, Davenport MA, Baraniuk RG. (2009) Exact signal recovery from sparsely corrupted measurements through the pursuit of justice Conference Record - Asilomar Conference On Signals, Systems and Computers. 1556-1560
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