Techniques to enhance GNSS signal acquisition and tracking sensitivity. - Jawaharlal Tangudu; Karthik Ramasubramanian; Karthik Subburaj; Saurabh Khanna; Sunil Chomal (IPIN, 2013)

Decentralized Bayesian learning of jointly sparse signals. - Saurabh Khanna; Chandra R. Murthy (GLOBECOM, 2014)

Consensus based Decentralized Sparse Bayesian Learning for Joint Sparse Signal Recovery. - Saurabh Khanna; Chandra R. Murthy (CoRR, 2015)

Designing a Game-Based Learning Environment to Foster Geometric Thinking. - Suchi Srinivas; Saurabh Khanna; Jeenath Rahaman; Viraj Kumar (T4E, 2016)

Rényi divergence based covariance matching pursuit of joint sparse support. - Saurabh Khanna; Chandra R. Murthy (SPAWC, 2017)

On the Support Recovery of Jointly Sparse Gaussian Sources using Sparse Bayesian Learning. - Saurabh Khanna; Chandra R. Murthy (CoRR, 2017)

Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach. - Saurabh Khanna; Chandra R. Murthy (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Communication-Efficient Decentralized Sparse Bayesian Learning of Joint Sparse Signals. - Saurabh Khanna; Chandra R. Murthy (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Sparse Recovery From Multiple Measurement Vectors Using Exponentiated Gradient Updates. - Saurabh Khanna; Chandra R. Murthy (IEEE Signal Process. Lett., 2018)

On the Restricted Isometry of the Columnwise Khatri-Rao Product. - Saurabh Khanna; Chandra R. Murthy (IEEE Trans. Signal Process., 2018)

Corrections to "On the Restricted Isometry of the Columnwise Khatri-Rao Product". - Saurabh Khanna; Chandra Ramabhadra Murthy (IEEE Trans. Signal Process., 2019)

Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality. - Saurabh Khanna; Vincent Y. F. Tan (ICLR, 2020)

Recalibrating the scope of scholarly publishing: A modest step in a vast decolonization process. - Saurabh Khanna; Jon Ball; Juan Pablo Alperin; John Willinsky (Quant. Sci. Stud., 2022)

On the Support Recovery of Jointly Sparse Gaussian Sources via Sparse Bayesian Learning. - Saurabh Khanna; Chandra R. Murthy (IEEE Trans. Inf. Theory, 2022)

Desketching of R-Separable Matrices From Compressive Linear Measurements. - Neha Singh; Saurabh Khanna (MLSP, 2023)

Proximal Subgradient Descent Method for Cancelling Cross-Interference in FMCW Radars. - Manmohan Singhal; Saurabh Khanna (SSP, 2023)

Who Provides the Largest Megaphone? The Role of Google News in Promoting Russian State-Affiliated News Sources. - Keeley Erhardt; Saurabh Khanna (CoRR, 2023)

Semi-NMF Regularization-Based Autoencoder Training for Hyperspectral Unmixing. - Divyam Goel; Saurabh Khanna (NCC, 2024)