no code implementations • 18 Aug 2023 • Siddartha Reddy, Sundeep Prabhakar Chepuri
In this work, we focus on sampling and recovery of signals over simplicial complexes.
no code implementations • 11 Aug 2023 • R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
In this paper, we focus on radar imaging using active sensing with a single transceiver and reconfigurable intelligent surface (RIS).
no code implementations • 14 Mar 2023 • Thummaluru Siddartha Reddy, Sundeep Prabhakar Chepuri, Pierre Borgnat
Then, leveraging the Cheeger inequality, we propose the simplicial spectral clustering algorithm.
no code implementations • 11 Mar 2023 • R. S. Prasobh Sankar, Sidharth S. Nair, Siddhant Doshi, Sundeep Prabhakar Chepuri
In this paper, we present an unsupervised learning neural model to design transmit precoders for integrated sensing and communication (ISAC) systems to maximize the worst-case target illumination power while ensuring a minimum signal-to-interference-plus-noise ratio (SINR) for all the users.
no code implementations • 17 Jan 2023 • R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
Hybrid reconfigurable intelligent surfaces (HRIS) are RIS architectures having both active and passive elements.
no code implementations • 3 Nov 2022 • R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
In this paper, we present a novel reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) system with 1-bit quantization at the ISAC base station.
no code implementations • 2 Nov 2022 • Sundeep Prabhakar Chepuri, Nir Shlezinger, Fan Liu, George C. Alexandropoulos, Stefano Buzzi, Yonina C. Eldar
Integrated sensing and communications (ISAC) are envisioned to be an integral part of future wireless networks, especially when operating at the millimeter-wave (mmWave) and terahertz (THz) frequency bands.
no code implementations • 23 Oct 2022 • Xiao Meng, Fan Liu, Shihang Lu, Sundeep Prabhakar Chepuri, Christos Masouros
We first show that the sensing and communication (S&C) performance can be jointly improved due to the capability of the RISs to control the ISAC channel.
1 code implementation • 4 Oct 2022 • Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
In this paper, we focus on learning the core scores of a graph from its node attributes and connectivity structure.
no code implementations • 15 Jun 2022 • R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri, Yonina C. Eldar
On the other hand, the dual-RIS assisted ISAC system improves both minimum user SINR as well as worst-case target illumination power at the targets, especially when the users and targets are not directly visible.
no code implementations • 11 Mar 2022 • R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
In this paper, we consider a hybrid reconfigurable intelligent surface (RIS) comprising of active and passive elements to aid an integrated sensing and communication (ISAC) system serving multiple users and targets.
1 code implementation • 11 Jan 2022 • Raju Shrestha, Daniel Romero, Sundeep Prabhakar Chepuri
To overcome the combinatorial complexity of this problem, a dynamic programming approach is proposed to obtain lists of waypoints through areas of large uncertainty in linear time.
1 code implementation • 22 Nov 2021 • Siddhant Doshi, Sundeep Prabhakar Chepuri
We focus on graph classification using a graph neural network (GNN) model that precomputes the node features using a bank of neighborhood aggregation graph operators arranged in parallel.
no code implementations • 19 Oct 2021 • Robin Francis, Sundeep Prabhakar Chepuri
A classic approach to obtain faster rates is to combine previous iterates to obtain the next iterate.
no code implementations • 8 Oct 2021 • Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
In this paper, we focus on learning sparse graphs with a core-periphery structure.
no code implementations • 19 Sep 2021 • R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
Using the developed noise model, we then present a two-step channel estimation algorithm to estimate a multipath channel parameterized by the gains, angles of arrival (AoAs), and angles of departure (AoDs).
no code implementations • 5 May 2021 • R. S. Prasobh Sankar, Battu Deepak, Sundeep Prabhakar Chepuri
In this paper, we use a reconfigurable intelligent surface (RIS) to enhance the radar sensing and communication capabilities of a mmWave dual function radar communication system.
no code implementations • 6 Apr 2021 • Krishnaprasad Nambur Ramamohan, Sundeep Prabhakar Chepuri, Daniel Fernandez Comesana, Geert Leus
This joint estimation problem is referred to as self calibration.
no code implementations • 15 Dec 2020 • Sai Kiran Kadambari, Sundeep Prabhakar Chepuri
We assume that the product graph is formed by the Cartesian product of two smaller graphs, which we refer to as graph factors.
1 code implementation • 3 Dec 2020 • Siddhant Doshi, Sundeep Prabhakar Chepuri
In this work, we explore computational data-driven methods for drug repurposing and propose a dedicated graph neural network (GNN) based drug repurposing model, called Dr-COVID.
no code implementations • 2 Nov 2020 • Battu Deepak, R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
Channel estimation in reconfigurable intelligent surface (RIS) assisted multiple input multiple output (MIMO) communication systems is challenging as pilots cannot be decoded at or transmitted from a RIS with only passive elements.
no code implementations • 30 Oct 2020 • Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard
We present a novel multiview canonical correlation analysis model based on a variational approach.
no code implementations • 23 Oct 2020 • Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
In this paper, we focus on graph learning from multi-view data of shared entities for spectral clustering.
1 code implementation • 23 Oct 2020 • Komal Krishna Mogilipalepu, Sumanth Kumar Modukuri, Amarlingam Madapu, Sundeep Prabhakar Chepuri
This paper proposes a federated learning technique for deep algorithm unfolding with applications to sparse signal recovery and compressed sensing.
Signal Processing
no code implementations • 23 Oct 2020 • R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri
This paper focuses on channel estimation for mmWave MIMO systems with 1-bit spatial sigma-delta analog-to-digital converters (ADCs).
no code implementations • 5 May 2020 • Daniel Romero, Raju Shrestha, Yves Teganya, Sundeep Prabhakar Chepuri
In contrast, this paper proposes a scheme in which a UAV collects measurements along a trajectory.
no code implementations • 2 Dec 2019 • Robin Rajamäki, Sundeep Prabhakar Chepuri, Visa Koivunen
Simulations demonstrate that a hybrid sparse array with very few elements, and even fewer front ends, can achieve the resolution of a fully digital uniform array at the expense of a longer image acquisition time.
2 code implementations • 30 Jun 2018 • Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
In this paper, we consider the problem of subsampling and reconstruction of signals that reside on the vertices of a product graph, such as sensor network time series, genomic signals, or product ratings in a social network.
2 code implementations • 28 Jun 2018 • Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
We consider the problem of designing sparse sampling strategies for multidomain signals, which can be represented using tensors that admit a known multilinear decomposition.
Information Theory Signal Processing Information Theory
no code implementations • 12 Sep 2016 • Sundeep Prabhakar Chepuri, Sijia Liu, Geert Leus, Alfred O. Hero III
Given the noisy data, we show that the joint sparse graph learning and denoising problem can be simplified to designing only the sparse edge selection vector, which can be solved using convex optimization.