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Compressive sensing (CS) proposes to capture compressible signals at a rate significantly smaller than the Nyquist–Shannon rate, yet allows accurate signal reconstruction. CS exploits the fact that the signal of interest is compressible by a known transform (e.g., Fourier, Wavelet, etc.) and it employs nonadaptive linear projections that preserve the structure of the signal. Approximate reconstruction...
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