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In this paper, we present a compressive sampling and multihypothesis (MH) reconstruction strategy for video sequences that has a rather simple encoder, while the decoding system is not that complex. We introduce a convex cost function that incorporates the MH technique with the sparsity constraint and the Tikhonov regularization. Consequently, we derive a new iterative algorithm based on these criteria...
The seismocardiogram (SCG) measures the acceleration generated by the mechanical contraction and relaxation activities of the heart. It has been demonstrated to facilitate accurate identification of various coronary artery diseases. However, applications involving SCG are severely hampered by the large amount of data to be processed, preventing real-time monitoring and detection of diseases. This...
We address the problem of bounding the achievable rates of a new class of superimposed codes, termed weighted Euclidean superimposed codes (WESCs). WESCs generalize traditional Euclidean superimposed codes in so far that they allow for distinguishing bounded, integer-valued linear combinations of codewords. They can also be viewed as a bridge between superimposed coding and compressive sensing. In...
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