# Publications

A Spectral Graph Uncertainty Principle,” IEEE Transactions on Information Theory, vol. 59, no. 7, pp. 4338-4356, 2013.Abstract sgup.pdf

, “ Adaptive time-sequential binary sensing for high dynamic range imaging,” in Proc. SPIE Conference on Advanced Photon Counting Techniques VI, Baltimore, MD, 2012.Abstract

, “ Graph-Based regularization for color image demosaicking,” in Proc. IEEE International Conference on Image Processing, Orlando, FL, 2012.Abstract graphdemo_icip.pdf

, “ Optimal spectral sensitivity functions for single sensor color imaging,” in Proc. SPIE Conference on Digital Photography VIII, Burlingame, 2012.Abstract

, “ Uncertainty principles for signals defined on graphs: Bounds and characterizations,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, 2012.Abstract graph_icassp12.pdf

, “See, also, the extended journal version:
A. Agaskar and Y. M. Lu, A Spectral Graph Uncertainty Principle, IEEE Transactions on Information Theory, to appear.

Blind estimation and low-rate sampling of sparse MIMO systems with common support,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, 2012.Abstract mc_sparse_icassp2012.pdf

, “ Multidimensional Filter Banks and Multiscale Geometric Representations,” Foundation and Trends in Signal Processing, vol. 5, no. 3, pp. 157-264, 2012.Abstract mdfb.pdf

, “ Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics,” IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1421-1436, 2012. Extended Version with Complete ProofAbstract bits_from_photons.pdf

, “ An uncertainty principle for functions defined on graphs,” in Proc. SPIE Conf. on Wavelets and Sparsity, San Diego, 2011.Abstract graphuncert.pdf

, “See, also, the extended journal version: A. Agaskar and Y. M. Lu, A Spectral Graph Uncertainty Principle, IEEE Transactions on Information Theory, to appear.

Correlation-Based joint acquisition and demosaicing of visible and near-infrared images,” in Proc. IEEE International Conference on Image Processing, Brussels, 2011.Abstract visnir_icip11.pdf

, “ Sparse spectral factorization: Unicity and reconstruction algorithms,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, 2011.Abstract sparsesf_icassp11.pdf

, “ Localizing point sources in diffusion fields from spatiotemporal measurements,” in Proc. Int. Conf. Sampling Theory and applications (SampTA), Singapore, 2011.Abstract point_diffusion_sampta11.pdf

, “ Sampling and reconstructing diffusion fields with localized sources,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, 2011.Abstract sparse_source_icassp11.pdf

, “ Can one hear the shape of a room: The 2-D polygonal case,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, 2011.Abstract can_you_hear_icassp11.pdf

, “(This paper received the **Best Student Paper Award** of ICASSP.)

Learning sparse systems at sub-Nyquist rates: A frequency-domain approach,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, 2010.Abstract sparse_lms.pdf

, “ Multichannel sampling with unknown gains and offsets: A fast reconstruction algorithm,” in Proc. Allerton Conference on Communication, Control and Computing. Monticello, IL, 2010.Abstract mcsamp_allerton10.pdf

, “ An optimal algorithm for reconstructing images from binary measurements,” in Proc. SPIE Conf. Computational Imaging VIII, San Jose, CA, 2010.

, “ Distributed Sampling of Correlated Signals Linked by Sparse Filtering: Theory and Applications,” IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1095-1109, 2010.Abstract sparse_filtering.pdf

, “ Demosaicking by Alternating Projections: Theory and Fast One-Step Implementation,” IEEE Transactions on Image Processing, vol. 19, no. 8, pp. 2085-2098, 2010. MATLAB code and imagesAbstract ap_demosaicking.pdf

, “ Computable Fourier conditions for alias-free sampling and critical sampling.” in Proc. Int. Conf. Sampling Theory and applications (SampTA), Marseille, France, 2009.Abstract sampling_lattices_sampta.pdf

, “