—In today’s world, individuals interact with each other in more complicated patterns than ever. Some individuals engage through online social networks (e.g., Facebook, Twitter)...
—Compressive Phase Retrieval refers to the problem of recovering an unknown sparse signal, upto a global phase constant, given only a small number of phaseless (or magnitude) mea...
—Historically unfeasible because of self-interference, full duplexing has now been experimentally demonstrated and is on the verge of commercial feasibility thanks to advances in...
Abstract—Compressed Sensing Multi-User Detection is a recently developed physical layer method to decrease signaling in massive Machine communications by using means from the fi...
—We devise query-set independent mechanisms for the problem of differentially private query release. Specifically, a differentially private mechanism is constructed to publish a...
—Compressed Sensing (CS) is an emerging field in mathematics that is used to measure few measurements of sparse vectors for lossless reconstruction. In this paper we use results...
— In this paper, we consider networks of mobile robots responsible for accomplishing tasks, captured by Linear Temporal Logic (LTL) formulas, while ensuring communication with al...
—This paper describes a real-time implementation of precise synchronization between a master and slave node. The nodes were both implemented on separate Texas Instruments DSP boa...
Max Li, Stefan Gvozdenovic, Alexander Ryan, Radu D...
Abstract—This paper describes a technique for transmit beamforming from the nodes in a distributed radio network to a distant target node across a frequency-selective channel. Th...
T. Patrick Bidigare, Upamanyu Madhow, D. Richard B...
—At high carrier frequencies, spatial multiplexing gains can be obtained even in line of sight (LoS) environments with reasonable node form factors. We investigate design of a Lo...
Babak Mamandipoor, M. Sawaby, Amin Arbabian, Upama...