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[EditBox] stage DL : 0: Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. This is based on the principle that, through optimization, the sparsity of a signal can be exploited to recover it far fewer samples than required by the Shannon-Nyquist sampling theorem.-Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. This is based on the principle that, through optimization, the sparsity of a signal can be exploited to recover it far fewer samples than required by the Shannon-Nyquist sampling theorem.
Date : 2025-12-30 Size : 4kb User : DDDJDDKDK