Conference Proceedings

• 1. D. Goel and S. Khanna, "Semi-NMF Regularization-Based Autoencoder Training for Hyperspectral Unmixing", 30th National Conference on Communications (NCC), Madras, India, 2024. 
  2. N. Singh and S. Khanna, "Desketching of R-Separable Matrices From Compressive Linear Measurements," 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, Italy, 2023. 
  3. M. Singhal and S. Khanna, "Proximal Subgradient Descent Method for Cancelling Cross-Interference in FMCW Radars," 2023 IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, 2023, pp. 225-229. 
  4. S. Khanna and V. Y. F. Tan, Economy Statistical Recurrent Units for Inferring Nonlinear Granger Causality, International Conference on Learning Representations (ICLR) , Addis Ababa, 2020  
  5. S. Khanna and C. R. Murthy, Rényi Divergence Based Covariance Matching Pursuit of Joint Sparse Support, IEEE Signal Processing Advances in Wireless Communication (SPAWC), Sapporo, Japan, 2017 (download).
  6. S. Khanna and C. R. Murthy, Decentralized Bayesian learning of jointly sparse signals, IEEE GLOBECOM Conference, Austin, TX, 2014, pp. 3103-3108.
  7. J. Tangudu, K. Ramasubramanian, K. Subburaj, S. Khanna and S. Chomal, Techniques to enhance GNSS signal acquisition and tracking sensitivity, International Conference on Indoor Positioning and Indoor Navigation, 2013, pp. 1-10.
  8. H. Snoussi and S. Khanna and D. Hewson and J. Duchene, Number of Sources Uncertainty in Blind Source Separation. 29th Conference of IEEE Engineering in Medicine and Biology Society, 2007, Lyon, France.

Journal Publications

• 1. S. Khanna and C. R. Murthy, "On the Support Recovery of Jointly Sparse Gaussian Sources via Sparse Bayesian Learning," in IEEE Transactions on Information Theory, vol. 68, no. 11, pp. 7361-7378, Nov. 2022
  2. S. Khanna and C. R. Murthy, Sparse Recovery from Multiple Measurement Vectors Using Exponentiated Gradient Updates, IEEE Signal Processing Letters, vol. 25,  no. 10, pp. 1485-1489, Oct. 2018.
  3. S. Khanna and C. R. Murthy, On the Restricted Isometry of the Columnwise Khatri-Rao Product, IEEE Transactions on Signal Processing, vol. 66, no. 5, pp. 1170-1183, Dec. 2017. [Attention!  The proof of probabilistic RIC bound is incorrect & the bound is relaxed in the erratum, while the deterministic RIC bound continues to hold, please see errata for details: Corrections to “On the Restricted Isometry of the Columnwise Khatri–Rao Product” IEEE Transactions on Signal Processing 67 (9), 2387-2388. ]
  4. S. Khanna and C. R. Murthy, Communication Efficient Decentralized Sparse Bayesian Learning of Joint Sparse Signals, in IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 3, pp. 617–630, Nov. 2016.
  5. S. Khanna and C. R. Murthy, Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach, in IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 1, pp. 29-45, March 2017

Book Chapters

1. G. Joseph, S. Khanna, C. R. Murthy, R. Prasad, S. Thoota, Sparsity-aware Bayesian inference and its applications, in Handbook of Statistics, vol. 47, pp. 161-207, 2022

Patents 

• 1. Dynamic Programming of Chirps in a Frequency Modulated Continuous Wave (FMCW) Radar System, Chethan Kumar Y. B., Saurabh Khanna and Vijay Rentala. USPTO Publication No. WO2016179421 A1
  2. Angle Resolution in Radar, Sandeep Rao and Saurabh Khanna, USPTO Publication No. WO2015060997 A1
  3. Method and Apparatus for GNSS Signal Tracking, Karthik Subburaj, Jawaharlal Tangudu and Saurabh Khanna, USPTO Publication No. US20150097729 A1
  4. Switching between transmit and receive modes in a wireless transceiver, Saurabh Khanna, Sarma Gunturi, Vijaya Sarathy B. P., USPTO Publication No. US9484979 B2
  5. Angle Resolution in Radar, Sandeep Rao and Saurabh Khanna, WIPO-PCT WO2015060997A1