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This paper introduces a novel technique for the suppression noise and sidelobes in synthetic aperture radar (SAR) imagery. In the proposed Block-based Collaborative Filtering (BCF) technique, multiple SAR images of the same scene are formed using randomly reduced apertures. The resulting SAR images are then blocked-based processed in a collaborative fashion. More specifically, collocated blocks of...
This paper introduces a new framework to construct fast and efficient sensing matrices for practical compressive sensing, called Structurally Random Matrix (SRM). In the proposed framework, we prerandomize the sensing signal by scrambling its sample locations or flipping its sample signs and then fast-transform the randomized samples and finally, subsample the resulting transform coefficients to obtain...
With the advent of a single-pixel camera, compressive imaging applications have gained wide interests. However, the design of efficient measurement basis in such a system remains as a challenging problem. In this paper, we propose a highly sparse and fast sampling operator based on the scrambled block Hadamard ensemble. Despite its simplicity, the proposed measurement operator offers universality...
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