Different scientific environments (GW communities, Medical Science, Engineering, Telecommunications ..etc.) use the same techniques of signal processing. The aim of this workshop is to put in contact (confirmed and about to come) scientists coming from these different fields in order to enhance the exchange of ideas and to bring them to learn new techniques. The worskhop is addressed to young researchers, PhD students and to anyone wishing to update their knowledge of signal processing. During the workshop, lectures will be held on the following arguments: Gaussian stationary noise. Detection of known signals in GSN. Parametric detectors (Maximum likelihood estimation) and Non parametric detectors. Testing the Gaussian assumptions. Testing the stationary assumption. Results from real data. "Locally" Gaussian and/or stationary processes. Spherically invariant random processes. Glitch entomology. Glitch classification. Channel-channel transfer functions. Generalized shot noise. Middleton model. Multi-Gaussian models. About "the best model for a cat". Gabor atoms. Matching Pursuit. Sparsity. Basis pursuit. Prony analysis. Toward a physical model for glitch noise. Non linear and not stationary systems, Radar Clutter Modeling and Analysis, Coherent Target Detection in Heavy-Tailed Compound-Gaussian Clutter. Locally optimum detectors. What do we need to know about noise to implement a LOD. Network detection of unmodeled signals. Gravitational Wave detection. Searches for GW transients. Inverse problem for bursts.
 
GW detection

medical science

radar clutter

non linear noise

Gltiches identification

neuroimaging

bayesian inference

Coherent target detection

GPU