Rice DSP Publications

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Submitted
2011
J. N. Laska, P. T. Boufounos, M. A. Davenport, and R. G. Baraniuk, "Democracy in action: Quantization, saturation, and compressive sensing", Applied and Computational Harmonic Analysis, vol. 31, no. 3, pp. 429-443, Nov., 2011. Abstract
J. P. Slavinsky, J. N. Laska, M. A. Davenport, and R. G. Baraniuk, "The compressive multiplexer for multi-channel compressive sensing", Proc. of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May, 2011. Abstract
J. Treichler, M. A. Davenport, J. N. Laska, and R. G. Baraniuk, "Dynamic range and compressive sensing acquisition receivers", Defense Applications of Signal Processing (DASP), Coolum, Australia, Jul., 2011. Abstract
2010
M. A. Davenport, and M. B. Wakin, "Analysis of orthogonal matching pursuit using the restricted isometry property", IEEE Transactions on Information Theory, vol. 56, no. 9, pp. 4395-4401, Oct., 2010. Abstract
M. A. Davenport, C. Hegde, M. F. Duarte, and R. G. Baraniuk, "Joint manifolds for data fusion", IEEE Transactions on Image Processing, vol. 19, no. 10, pp. 2580-2594, Oct., 2010. Abstract
M. A. Davenport, R. G. Baraniuk, and C. D. Scott, "Tuning support vector machines for minimax and Neyman-Pearson classification", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 10, pp. 1888-1898, Oct., 2010. Abstract
M. A. Davenport, S. R. Schnelle, J. P. Slavinsky, R. G. Baraniuk, M. B. Wakin, and P. T. Boufounos, "A wideband compressive radio receiver", Military Communications Conference (MILCOM), San Jose, CA, Oct., 2010.
M. A. Davenport, C. Hegde, M. F. Duarte, and R. G. Baraniuk, "High-dimensional data fusion via joint manifold learning", AAAI Fall 2010 Symposium on Manifold Learning, Arlington, VA, Nov., 2010. Abstract
S. R. Schnelle, J. N. Laska, C. Hegde, M. F. Duarte, M. A. Davenport, and R. G. Baraniuk, "Texas Hold 'Em algorithms for distributed compressive sensing", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, Mar., 2010. Abstract
M. A. Davenport, "Random observations on random observations: Sparse signal acquisition and processing", Department of Electrical and Computer Engineering, vol. PhD: Rice University, Aug., 2010. Abstract
M. A. Davenport, P. T. Boufounos, M. B. Wakin, and R. G. Baraniuk, "Signal processing with compressive measurements", Journal of Selected Topics in Signal Processing, vol. 4, no. 2, pp. 445-460, Apr., 2010. Abstract
2009
J. Treichler, M. A. Davenport, and R. G. Baraniuk, "Application of compressive sensing to the design of wideband signal acquisition receivers", 6th U.S. / Australia Joint Workshop on Defense Applications of Signal Processing (DASP), Lihue, HI, Sept., 2009. Abstract
M. A. Davenport, J. N. Laska, P. T. Boufounos, and R. G. Baraniuk, A simple proof that random matrices are democratic, , no. TREE 0906: Rice University, Department of Electrical and Computer Engineering, Nov., 2009. Abstract
M. A. Davenport, and R. G. Baraniuk, "Sparse geodesic paths", AAAI Fall 2009 Symposium on Manifold Learning, Arlington, Virginia, Nov., 2009. Abstract
M. A. Davenport, C. Hegde, M. F. Duarte, and R. G. Baraniuk, A theoretical analysis of joint manifolds, , no. TREE 0901: Rice University, Department of Electrical and Computer Engineering, Jan., 2009. Abstract
M. A. Davenport, P. T. Boufounos, and R. G. Baraniuk, "Compressive domain interference cancellation", Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), Saint-Malo, France, Apr., 2009. Abstract
2008
2007
C. D. Scott, and M. A. Davenport, "Regression level set estimation via cost-sensitive classification", IEEE Transactions on Signal Processing, vol. 55, no. 6, pp. 2752-2757, Jun., 2007. Abstract
C. Hegde, M. A. Davenport, M. B. Wakin, and R. G. Baraniuk, "Efficient machine learning using random projections", Neural Information Processing Systems (NIPS) Workshop on Efficient Machine Learning, Whistler, BC, Dec., 2007. Abstract
M. A. Davenport, C. Hegde, M. B. Wakin, and R. G. Baraniuk, "Manifold-based approaches for improved classification", Neural Information Processing Systems (NIPS) Workshop on Topology Learning, Whistler, BC, Dec., 2007. Abstract
M. A. Davenport, R. G. Baraniuk, and C. D. Scott, "Minimax support vector machines", IEEE Workshop on Statistical Signal Processing (SSP), Madison, WI, Aug., 2007. Abstract
M. A. Davenport, "Error control for support vector machines", Department of Electrical and Computer Engineering, vol. MS Thesis: Rice University, Apr., 2007. Abstract
2006
M. A. Davenport, R. G. Baraniuk, and C. D. Scott, "Learning minimum volume sets with support vector machines", IEEE Workshop on Machine Learning for Signal Processing (MLSP), Maynooth, Ireland, Sep., 2006. Abstract
M. A. Davenport, M. B. Wakin, and R. G. Baraniuk, Detection and estimation with compressive measurements, , no. TREE 0610: Rice University, Department of Electrical and Computer Engineering, Nov., 2006. Abstract
M. A. Davenport, R. G. Baraniuk, and C. D. Scott, "Controlling false alarms with support vector machines", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May, 2006. Abstract
M. F. Duarte, M. A. Davenport, M. B. Wakin, and R. G. Baraniuk, "Sparse signal detection from incoherent projections", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May, 2006. Abstract
M. A. Davenport, R. G. Baraniuk, and M. B. Wakin, "Scalable inference and recovery from compressive measurements", Neural Information Processing Systems (NIPS) Workshop on Novel Applications of Dimensionality Reduction, Whistler, BC, Dec., 2006. Abstract
2005
M. A. Davenport, The 2nu-SVM: A cost-sensitive extension of the nu-SVM, , no. TREE 0504: Rice University, Department of Electrical and Computer Engineering, Dec., 2005. Abstract

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