We consider the problem of extracting the source signals from an under-determined convolutive mixture assuming known mixing filters. State-of-the-art methods operate in the time-fr...
Publish/subscribe systems provide useful platforms for delivering data (events) from publishers to subscribers in a decoupled fashion. Developing efficient publish/subscribe scheme...
Silvia Bianchi, Pascal Felber, Maria Gradinariu Po...
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
BitTorrent and Practical Network Coding are efficient methods for sharing files in a peer-to-peer network. Both face the problem to distribute a given file using peers with dif...
Christian Ortolf, Christian Schindelhauer, Arne Va...
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...