Incoherence refers to the lack of alignment or correlation between the representation of a signal and the basis used for its analysis. In the context of compressed sensing, it describes how well the basis functions match the sparse signals, where a lower degree of incoherence indicates better recovery of these signals using fewer measurements. Understanding incoherence is crucial for developing efficient algorithms that can accurately recover sparse signals from limited data.
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