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20142026
most citedSpectrum Access In Cognitive Radio Using A Two Stage Reinforcement Learning Approach

106 citations · 310 across the 82 of their papers we have counts for

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Showing 2018Show all

10 papers · 1 filter

cs.IT2018

EVM analysis of an Interference Limited SIMO-SC System With Independent and Correlated Channels

Sudharsan Parthasarathy, Suman Kumar, Sheetal Kalyani

In this paper, we derive the error vector magnitude (EVM) in a selection combining (SC) system experiencing co-channel interference, for arbitrary number of antennas and interferer…

eess.SP2018

High SNR Consistent Compressive Sensing Without Signal and Noise Statistics

Sreejith Kallummil, Sheetal Kalyani

Recovering the support of sparse vectors in underdetermined linear regression models, \textit{aka}, compressive sensing is important in many signal processing applications. High SN…

stat.ML2018★ 16 cited

Noise Statistics Oblivious GARD For Robust Regression With Sparse Outliers

Sreejith Kallummil, Sheetal Kalyani

Linear regression models contaminated by Gaussian noise (inlier) and possibly unbounded sparse outliers are common in many signal processing applications. Sparse recovery inspired…

stat.ML2018★ 26 cited

Structured and Unstructured Outlier Identification for Robust PCA: A Non iterative, Parameter free Algorithm

Vishnu Menon, Sheetal Kalyani

Robust PCA, the problem of PCA in the presence of outliers has been extensively investigated in the last few years. Here we focus on Robust PCA in the outlier model where each colu…

stat.ML2018★ 12 cited

Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit

Sreejith Kallummil, Sheetal Kalyani

Orthogonal matching pursuit (OMP) is a widely used algorithm for recovering sparse high dimensional vectors in linear regression models. The optimal performance of OMP requires \te…

cs.IT2018

Asymptotic maximum order statistic for SIR in shadowed fading

Athira Subhash, Muralikrishnan Srinivasan, Sheetal Kalyani

Using tools from extreme value theory (EVT), it is proved that, when the user signal and the interferer signals undergo independent and non-identically distributed (i.n.i.d.) …

cs.IT2018

Analysis of Outage Probability of MRC with co-channel interference

Muralikrishnan Srinivasan, Sheetal Kalyani

Approximate outage probability expressions are derived for systems employing maximum ratio combining, when both the desired signal and the interfering signals are subjected to $η-μ…

cs.IT2018★ 5 cited

Residual Ratio Thresholding for Model Order Selection

Sreejith Kallummil, Sheetal Kalyani

Model order selection (MOS) in linear regression models is a widely studied problem in signal processing. Techniques based on information theoretic criteria (ITC) are algorithms of…

stat.ML2018★ 1 cited

Fast, Parameter free Outlier Identification for Robust PCA

Vishnu Menon, Sheetal Kalyani

Robust PCA, the problem of PCA in the presence of outliers has been extensively investigated in the last few years. Here we focus on Robust PCA in the column sparse outlier model.…

cs.IT2018

A Centralized Multi-stage Non-parametric Learning Algorithm for Opportunistic Spectrum Access

Thulasi Tholeti, Vishnu Raj, Sheetal Kalyani

Owing to the ever-increasing demand in wireless spectrum, Cognitive Radio (CR) was introduced as a technique to attain high spectral efficiency. As the number of secondary users (S…