Detection of the number of signals using a multiple hypothesis test
Detection of the number of signals using a multiple hypothesis test
This work presents a novel approach to detect multiple signals embedded in noisy observations of a sensor array. We formulate the detection problem as a multiple hypothesis test. To control the global level of the multiple test, we apply the false discovery rate (FDR) criterion recently suggested by Benjamini and …