14.2k citations
- Massachusetts Institute of TechnologyUS1.1k papers
- University of GlasgowGB985 papers
- University of CambridgeGB950 papers
- University of BirminghamGB932 papers
- Centre National de la Recherche ScientifiqueFR919 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT880 papers
- University of Maryland, College ParkUS873 papers
- National Institute for Subatomic PhysicsNL869 papers
- Rutherford Appleton LaboratoryGB856 papers
- University of OxfordGB853 papers
- Tsinghua UniversityCN847 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR833 papers
8 papers · 2 filters
Cooperative Sparsity Pattern Recovery in Distributed Networks Via Distributed-OMP
Thakshila Wimalajeewa, Pramod K. Varshney
In this paper, we consider the problem of collaboratively estimating the sparsity pattern of a sparse signal with multiple measurement data in distributed networks. We assume that…
Robust Distributed Maximum Likelihood Estimation with Dependent Quantized Data
Xiaojing Shen, Pramod K. Varshney, Yunmin Zhu
In this paper, we consider distributed maximum likelihood estimation (MLE) with dependent quantized data under the assumption that the structure of the joint probability density fu…
On the Sum Capacity of the Discrete Memoryless Interference Channel with One-Sided Weak Interference and Mixed Interference
Fangfang Zhu, Biao Chen
The sum capacity of a class of discrete memoryless interference channels is determined. This class of channels is defined analogous to the Gaussian Z-interference channel with weak…
The Han-Kobayashi Region for a Class of Gaussian Interference Channels with Mixed Interference
Yu Zhao, Fangfang Zhu, Biao Chen
A simple encoding scheme based on Sato's non-naïve frequency division is proposed for a class of Gaussian interference channels with mixed interference. The achievable region is sh…
Cramér-Rao Bounds for Polynomial Signal Estimation using Sensors with AR(1) Drift
Swarnendu Kar, Pramod K. Varshney, Marimuthu Palaniswami
We seek to characterize the estimation performance of a sensor network where the individual sensors exhibit the phenomenon of drift, i.e., a gradual change of the bias. Though esti…
Spatial Whitening Framework for Distributed Estimation
Swarnendu Kar, Pramod K. Varshney, Hao Chen
Designing resource allocation strategies for power constrained sensor network in the presence of correlated data often gives rise to intractable problem formulations. In such situa…