Compressive sensing is a novel signal sampling theory under the condition that the signal is sparse or compressible. In this case, the signal can be reconstructed accurately from a small amount of sampled values if the signal is sparse or compressible. The theory has successfully overcome the difficulties such as redundancy of sampling and waste
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