activity
20102024
most citedMultiple Kernel Sparse Representations for Supervised and Unsupervised Learning

67 citations · 238 across the 29 of their papers we have counts for

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Showing cs.ITShow all

6 papers · 1 filter

cs.IT2018

Location Estimation and Detection in Wireless Sensor Networks in the Presence of Fading

Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar +2

In this paper, localization using narrowband communication signals are considered in the presence of fading channels with time of arrival measurements. When narrowband signals are…

cs.IT2017★ 14 cited

Direct estimation of density functionals using a polynomial basis

Alan Wisler, Visar Berisha, Andreas Spanias +1

A number of fundamental quantities in statistical signal processing and information theory can be expressed as integral functions of two probability density functions. Such quantit…

cs.IT2014★ 5 cited

Empirically Estimable Classification Bounds Based on a New Divergence Measure

Visar Berisha, Alan Wisler, Alfred O. Hero +1

Information divergence functions play a critical role in statistics and information theory. In this paper we show that a non-parametric f-divergence measure can be used to provide…

cs.IT2011★ 2 cited

Distributed SNR Estimation using Constant Modulus Signaling over Gaussian Multiple-Access Channels

Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias

A sensor network is used for distributed joint mean and variance estimation, in a single time snapshot. Sensors observe a signal embedded in noise, which are phase modulated using…

cs.IT2010★ 3 cited

On Inequalities Relating the Characteristic Function and Fisher Information

Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias

A relationship between the Fisher information and the characteristic function is established with the help of two inequalities. A necessary and sufficient condition for equality is…

cs.IT2010★ 25 cited

Distributed Detection over Fading MACs with Multiple Antennas at the Fusion Center

Mahesh K. Banavar, Anthony D. Smith, Cihan Tepedelenlioglu +1

A distributed detection problem over fading Gaussian multiple-access channels is considered. Sensors observe a phenomenon and transmit their observations to a fusion center using t…