sparse-representation

Sparse representation techniques are used to efficiently encode signals by representing them as a linear combination of a small number of basis elements. This approach is beneficial in various applications, including image processing, audio compression, and machine learning, where it can enhance performance by reducing dimensionality and improving interpretability. The concept is closely tied to notions of sparsity in data.