106 citations · 310 across the 82 of their papers we have counts for
10 papers · 1 filter
Generalized Residual Ratio Thresholding
Sreejith Kallummil, Sheetal Kalyani
Simultaneous orthogonal matching pursuit (SOMP) and block OMP (BOMP) are two widely used techniques for sparse support recovery in multiple measurement vector (MMV) and block spars…
An Optimized SLM for PAPR Reduction in Non-coherent OFDM-IM
Sarath Gopi, Sheetal Kalyani
In this letter, we propose a peak-to-average power ratio (PAPR) efficient non-coherent orthogonal frequency division multiplexing with index modulation (OFDM-IM). It is shown that…
Beyond 5G: Leveraging Cell Free TDD Massive MIMO using Cascaded Deep learning
Navaneet Athreya, Vishnu Raj, Sheetal Kalyani
This paper deals with the calibration of Time Division Duplexing (TDD) reciprocity in an Orthogonal Frequency Division Multiplexing (OFDM) based Cell Free Massive MIMO system where…
Subspace clustering without knowing the number of clusters: A parameter free approach
Vishnu Menon, Gokularam M, Sheetal Kalyani
Subspace clustering, the task of clustering high dimensional data when the data points come from a union of subspaces is one of the fundamental tasks in unsupervised machine learni…
Leveraging online learning for CSS in frugal IoT network
Nancy Nayak, Vishnu Raj, Sheetal Kalyani
We present a novel method for centralized collaborative spectrum sensing for IoT network leveraging cognitive radio network. Based on an online learning framework, we propose an al…
Blind decoding in -Stable noise: An online learning approach
Vishnu Raj, Sheetal Kalyani
A novel method for performing error control coding in Symmetric Stable noise environments without any prior knowledge about the value of is introduced. We use an online lea…
Transmit Power Policy and Ergodic Multicast Rate Analysis of Cognitive Radio Networks in Generalized Fading
Athira Subhash, Muralikrishnan Srinivasan, Sheetal Kalyani +1
This paper determines the optimum secondary user power allocation and ergodic multicast rate of point-to-multipoint communication in a cognitive radio network in the presence of ou…
Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis
Thulasi Tholeti, Sheetal Kalyani
Convergence of the gradient descent algorithm has been attracting renewed interest due to its utility in deep learning applications. Even as multiple variants of gradient descent w…
Joint power and resource allocation of D2D communication with low-resolution ADC
Muralikrishnan Srinivasan, Athira Subhash, Sheetal Kalyani
This paper considers the joint power control and resource allocation for a device-to-device (D2D) underlay cellular system with a multi-antenna BS employing ADCs with different res…
Design of Communication Systems using Deep Learning: A Variational Inference Perspective
Vishnu Raj, Sheetal Kalyani
Recent research in the design of end to end communication system using deep learning has produced models which can outperform traditional communication schemes. Most of these archi…