Fast and Reliable Sensing Using a Background Process for Noise Estimation
Dorin Panaitopol, Abdoulaye Bagayoko, Philippe Delahaye, Lanto Rakotoharison · 2011
This paper presents an efficient way to ensure a good detection performance by implementing algorithms running in background a reliable noise estimation process. The proposed solution operates at two different time scales: a slow time scale to determine in adjacent sub-bands the supposed slowly vary