Sparse signals are signals that contain only a small number of non-zero elements or significant components relative to their size. This characteristic allows for efficient representation and processing of information, making them particularly relevant in applications like compressed sensing, where recovering the original signal from fewer samples is possible due to its inherent sparsity.
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