Multidimensional-cognitive and statistical signal processing

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The ever-increasing demand for broadband spectrum has highlighted the critical need for smart technologies that can make use of scarce spectral resources as efficiently as possible. In this research program, we will invent multidimensional statistical-signal-processing algorithms for applications in cognitive wireless communication networks, radar networks, medical imaging systems and voice communication systems. The subsystems interact with and monitor the environment, collaborating and altering their own parameters and behavior in order to enhance their performance. For example, they scan and detect the availability of signal free channels, and opportunistically use them. Intelligent and practical algorithms will be invented for applications such as in multimedia and in enhanced medical imaging devices. To this end, many critical problems are studied including monitoring of the environment, channel identification, spectral information acquisition, collaboration, and information sharing among distributed users, and competitive distributed resource allocation/management.