Compressive Sampling and Lossy Compression
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...…and techniques such as matrix factorization [7], signal recovery/extraction [8], denoising [9], [10], compressed sensing [11], dictionary learning [12], signal representation [13], [14], support vector machines [15], sampling theory [16], [17] and source separation/localization [18], [19]....
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...Joint sparsity model To exploit the correlation among successive frames, similar to [6], the joint sparsity model in our DCVS can be described as follows....
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References
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"Compressive Sampling and Lossy Comp..." refers background or methods in this paper
...Subsequent works considered randomly selected rows from the DFT matrix [2] and then certain other random matrix ensembles [3], [4]....
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...The method, known as compressive sampling (sometimes called compressed sensing or compressive sensing), was developed in [2], [3] and [4] and is detailed in other articles in this issue....
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