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Compressive Sensing Resources References and Software Chronological View Research at Rice Overview The dogma of signal processing maintains that a signal must be sampled at a rate at least twice its highest frequency in order to be represented without error. However, in practice, we often compress the data soon after sensing, trading off signal representation complexity (bits) for some error (cons
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal or image contains enough information for reconstruction and processing. Our new digital image/video camera directly acquires random projections of a scene without first collecting the pixels/voxels. The camera architecture employs a digital micromirror arr
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