67 citations · 197 across the 17 of their papers we have counts for
17 papers
Partially adaptive filtering using randomized projections
Olivier Besson
This short note addresses the design of a partially adaptive filter to retrieve a signal of interest in the presence of strong low-rank interference and thermal noise. We consider…
On the distributions of some statistics related to adaptive filters trained with -distributed samples
Olivier Besson
In this paper we analyse the behaviour of adaptive filters or detectors when they are trained with -distributed samples rather than Gaussian distributed samples. More precisely…
A short overview of adaptive multichannel filters SNR loss analysis
Olivier Besson
Many multichannel systems use a linear filter to retrieve a signal of interest corrupted by noise whose statistics are partly unknown. The optimal filter in Gaussian noise requires…
Bee Cluster 3D: A system to monitor the temperature in a hive over time
Olivier Besson, Hervé Mugnier, Aurélien Neveux +2
A new system, Bee Cluster 3D, allowing the study of the time evolution of the 3D temperature distribution in a bee hive is presented. This system can be used to evaluate the cluste…
Impact of covariance mismatched training samples on constant false alarm rate detectors
Olivier Besson
The framework of this paper is that of adaptive detection in Gaussian noise with unknown covariance matrix when the training samples do not share the same covariance matrix as the…
Analysis of the SNR loss distribution with covariance mismatched training samples
Olivier Besson
We analyze the distribution of the signal to noise ratio (SNR) loss at the output of an adaptive filter which is trained with samples that do not share the same covariance matrix a…