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Parameter estimation or filtering is one of the important issues in diverse fields including statistical learning, signal processing, system identification and adaptive control. With the development o...
We study the minimum connected sensor cover problem(MIN-CSC) and the budgeted connected sensor cover (Budgeted-CSC)problem, both motivated by important applications in wireless sensor networks. In bot...
Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal characteristics. Accurate reconstruction is possible when the object to be ...
Motivated by applications to sensor, peer-to-peer and ad hoc networks, we study distributed algorithms, also known as gossip algorithms, for exchanging information and for computing in an arbitrarily ...

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