Abstract—Distributed optimization in multi-agent systems under sparsity constraints has recently received a lot of attention. In this paper, we consider the in-network minimizati...
—In this paper, we consider the dictionary learning problem for the sparse analysis model. A novel algorithm is proposed by adapting the simultaneous codeword optimization (SimCO...
Jing Dong, Wenwu Wang, Wei Dai, Mark D. Plumbley, ...
Abstract—We propose a sampling scheme that can perfectly reconstruct a collection of spikes on the sphere from samples of their lowpass-filtered observations. Central to our alg...
We consider secret-key agreement with public discussion over multiple-input multiple-output (MIMO) Rayleigh fast-fading channels under correlated environment. We assume that trans...
We provide an analysis of a consensus-type algorithm with weights dependent only on the received data. Differently from previous approaches that require a global knowledge of the ...
—Multiscale transforms designed to process analog and discrete-time signals and images cannot be directly applied to analyze high-dimensional data residing on the vertices of a w...
David I. Shuman, Mohammad Javad Faraji, Pierre Van...
Abstract—Most real-world networks exhibit community structure, a phenomenon characterized by existence of node clusters whose intra-edge connectivity is stronger than edge connec...
—We develop a new technique for a dual-function system with joint radar and communication platforms. Sidelobe control of the transmit beamforming in tandem with waveform diversit...
Aboulnasr Hassanien, Moeness G. Amin, Yimin D. Zha...
—The kernel-based nonparametric approach proposed by Nguyen, Wainwright and Jordan is further investigated for decentralized detection. In contrast to the uniform kernel used in ...
Weiguang Wang, Yingbin Liang, Eric P. Xing, Lixin ...
In this paper, we consider a general distributed estimation problem in relay-assisted sensor networks by taking into account time-varying asymmetric communications, fading channel...