Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization
Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization
Inspired by several real-life applications in audio processing and medical image analysis, where the quantity of interest is generated by several sources to be accurately modeled and separated, as well as by recent advances in regularization theory and optimization, we study the conditions on optimal support recovery in inverse problems …