Collaborative and distributed processing sound signals

The avances in distributed processing and the software and hardware available has let develop sound signals processing systems increasingly powerful and which interaction with the environment it is made "each time more" with many transducer sets. Typical examples are: human-machine interfaces based in sound signal or voice, resonant field control systems, systems of location and tracking of sound sources, telepresence systems, etc.

This research line overcome the problem of distributed processing and colaborative of sound signals. The physical aspects, of compunting, of signal processing, technological and energy use in distributed and colaborative scenes will be considered. The research is lead by a specific  set of applications with socioeconomic interest and tranference potential. For each of these applications must be studied the relevant sound information type that must be exchange the nodes and as this information will be encoded,  the distributed algorithm that will be used and the processing type that each node must make in order to achieve a good processing efficiency in the system and technologically approachable.