AI RESEARCH
Effective Sparsity: A Unified Framework via Normalized Entropy and the Effective Number of Nonzeros
arXiv CS.LG
•
ArXi:2603.13826v1 Announce Type: new Classical sparsity promoting methods rely on the l0 norm, which treats all nonzero components as equally significant. In practical inverse problems, however, solutions often exhibit many small amplitude components that have little effect on reconstruction but lead to an overestimation of signal complexity. We address this limitation by shifting the paradigm from discrete cardinality to effective sparsity. Our approach