Sparse signals are signals in which most of the coefficients or components are zero or close to zero, meaning that only a small number of significant elements carry the most important information. This characteristic is crucial for efficient data representation and recovery, particularly in applications where limited resources are available, such as compressed sensing and sampling theory.
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