This paper concerns sparse decomposition of a noisy signal into atoms which are specified by unknown continuous-valued parameters. An example could be estimation of the model order, frequencies and am
Multivariate Item Response Theory (MIRT) is sought-after widely by applied researchers looking for interpretable (sparse) explanations underlying response patterns in questionnaire data. There is, how
The article contains possible approach for digital predistorter model sparse estimation. Proposed method sequentially chooses the most likely regressors based on two-layer hierarchical Bayesian prior