This paper presents a new algorithm based on shift-invariant probabilistic latent component analysis that analyzes harmonic structures in an audio signal. Each note in a constant-...
We present a methodology for the real time alignment of music signals using sequential Montecarlo inference techniques. The alignment problem is formulated as the state tracking o...
This paper links two a priori different topics, group testing and traitor tracing. Group testing, as an instantiation of a compressed sensing problem over binary data, is indeed e...
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...
Xabier Jaureguiberry, Pierre Leveau, Simon Maller,...
The vulnerability of smart grid systems is a growing concern. Signal detection theory is employed here to detect a change in the system. We employ a discrete-time linear state spa...