Incoherence refers to the lack of correlation between different components of a signal representation, particularly in the context of sparse recovery algorithms. It is crucial for ensuring that sparse signals can be accurately reconstructed from limited observations, as high incoherence between measurement matrices and signal bases facilitates the recovery process, making it easier to distinguish between the significant and insignificant elements of a signal.
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