Filter bank optimization for specific input statistics has been of great interest in both theory and practice in many signal processing applications. In this paper we consider bi...
Decentralized sensor networks are collections of individual local sensors that observe a common phenomenon, quantize their observations, and send this quantized information to a ce...
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
—We study a sensor node with an energy harvesting source. In any slot, the sensor node is in one of two modes: Wake or Sleep. The generated energy is stored in a buffer. The sens...
This paper presents a new conceptual framework for summarization that considers the relationship between entities, device properties and user information needs. We summarize using...