University of Delaware - College of Engineering
ELECTRICAL & COMPUTER ENGINEERING

Research

Communication & Signal Processing

Compressive sensing in imaging, sensor networks, and UWB radios

Gonzalo Arce

Compressed sensing is motivated by the following questions: Since most signals acquired in practice are compressible, with most transform coefficients negligible, is it really necessary to acquire all that data to begin with? Is it possible to somehow capture the compressed information directly from a small number of measurements, and yet still reconstruct the same signals with small error? The emerging theory of compressive sensing aims at addressing exactly this. At the heart of CS is random sampling of the signal in its sparse basis representation so as to spread the aliasing components broadly and incoherently.Compressed sensing research at Delaware focuses on its applications to sensor networks, imaging, and UWB impulse radios.

Recent publications

J. Paredes, G. R. Arce and Z. Wang, "Ultrawideband compressed sensing: Channel estimation," IEEE Trans. On Special Topics in Communications, 2007.
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P. Ye, J. L. Paredes, G. R. Arce, Y. Wu, C. Chen and D. W. Prather, "Compressive Confocal Microscopy", in Proc. of 2009 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP ‘2009). pp. 429-432.
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P. Ye, J. L. Paredes, G. R. Arce, Y. Wu, C. Chen and D. W. Prather, "Compressive Confocal Microscopy: 3D reconstruction algorithms", SPIE Photonics West 2009, Jan 28, 2009.
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Y. Hu, Z. Wang, J. G. Frias and G. R. Arce, "Non-Linear Coding for Improved Performance in Compressive Sensing", Conference on Information Sciences and Systems, CISS 2009. Accepted.
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Z. Wang, G. R. Arce, B. M. Sadler, J. L. Paredes, S. Hoyos and Z. Yu, "Compressed UWB Signal Detection with Narrowband Interference Mitigation", in Proc. of 2008 IEEE International Conference on Ultra-Wideband, ICUWB 2008. Sept., pp. 157-160.
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Z. Wang, G. R. Arce and B. M. Sadler, "Subspace Compressive Detection for Sparse Signals", in Proc. of Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2008. Mar., pp. 3873 – 3876.
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Z. Wang, G. R. Arce, B. M. Sadler, J. L. Paredes and X. Ma, "Compressed Detection for Pilot Assisted Ultra-Wideband Impulse Radio", in Proc. of 2007 IEEE International Conference on Ultra-Wideband, ICUWB'2007, Sept., pp. 393- 398.
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Z. Wang, G. R. Arce, J. L. Paredes and B. M Sadler, "Compressed Detection for Ultra-wideband Impulse Radio", in Proc. of 2007 IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC'2007) . Jun. pp. 1-5.
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Z. Wang, G. R. Arce and J. L. Paredes, "Colored Random Projections for Compressed Sensing", in Proc. of 2007 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'2007). Apr., Vol. 3, pp. 873-876.
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J. L. Paredes, G. R. Arce and Z. Wang, "Compressive Sensing for Ultrawideband Radio", in Proc. of 2007 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'2007). Apr., Vol. 3, pp. 553-556.
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J. L. Paredes, Z. Wang, G. R. Arce and B. M. Sadler, "Compressive Matched Subspace Detection," in 2009 European Signal Processing Conference (EUSIPCO-2009). Accepted.
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Z. Wang, G. R. Arce and J. L. Paredes, "Variable Density Compressive Image Sampling," in 2009 European Signal Processing Conference (EUSIPCO-2009). Accepted.
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Y. Panagakis, C. Kotropoulos, G. R. Arce, "Music Genre Classification via Sparse Representation of Auditory Temporal Modulations," in 2009 European Signal Processing Conference (EUSIPCO-2009). Accepted.
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