Energy and sparse coding coefficients as sufficient measures for VEBs classification

Wireless Channel Availability Forecasting with a Sparse Geolocation Spectrum Database by Penalty-Regularization Logistic Models

“…Hurley & Rickard (2009) compared numerous sparsity measures. Benarabi et al (2021) used density, which is the ratio of the number of non-zero elements to the total number of elements in a vector, as a basis for its sparsity measure. Goswami et al (2018) measured the sparsity of a network graph using measures based on the Gini index.…”