Sparsity level refers to the measure of how many non-zero elements exist within a signal or dataset compared to the total number of elements. It is a critical concept in signal processing, particularly in relation to compressibility, as it helps determine the efficiency of data representation and transmission by identifying how much of the data can be effectively ignored or represented with fewer coefficients.
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