Interest in underwater acoustic networks has grown rapidly with the desire to monitor the large portion of the world covered by oceans. Fundamental differences between underwater a...
Michele Zorzi, Paolo Casari, Nicola Baldo, Albert ...
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...
Maria G. Jafari, Emmanuel Vincent, Samer A. Abdall...
The automatic analysis of singing from music is an important and challenging issue within the research target of content-based retrieval of music information. As part of this rese...
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
The blind recognition of communication parameters is a key research issue for commercial and military communication systems. The results of numerous investigations about symbol tim...
Vincent Choqueuse, Koffi Yao, Ludovic Collin, Gill...