3 accepted papers
This paper introduces TenSOFO, a novel tensor-based method specifically designed for blind source separation (BSS). Ten-SOFO presents a new efficient alternating direction method of multipliers framework, allowing for simultaneous decomposition of two symmetric third-order tensors under the individu…
In this paper, we investigate the problem of convolutive blind source separation (BSS) via tensor decomposition. A fundamental link between convolutive BSS and block-term decomposition (BTD) is established, forming the basis for our novel tensor-based convolutive BSS method, namely TCBSS. Specifical…
This paper proposes a new event detection algorithm for the use in Non-Intrusive Load Monitoring (NILM). This latter is a field where the main concern is to break down, in a non-intrusive manner, the global electrical energy consumption into individual appliances consumption. Detecting events is thu…