Peer-Reviewed Journals
Under Review/Preprints
K. Yashaswini, A. Arora, and S. Mulleti, "Adaptive Non-Uniform Sampling of Bandlimited Signals via Algorithm-Encoder Co-Design," arXiv preprint arXiv:2601.15790 (2026).
A. Panigrahi, J. Katual, and S. Mulleti, "Dictionary-Based Deblurring for Unpaired Data," arXiv preprint arXiv:2510.16428 (2025).
S. J. Grampurohit, S. Mulleti, and A. Rajwade, "Verifiable Deep Quantitative Group Testing," arXiv preprint arXiv:2512.07279 (2025).
S. B. Shah, S. Mulleti, and Y. C. Eldar, "Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling," December 2024.
R. Ravi, K. Majumder, K. Vyas, and S. Mulleti, "Subsampling of Correlated Graph Signals," September 2024
A. R. Chemmala and S. Mulleti, "Blind-Adaptive Quantizers," September 2024.
S. Mulleti, R. Y. Kumar, and L. Somappa, "Modulation For Modulo: A Sampling-Efficient High-Dynamic Range ADC," Submitted to IEEE Transactions on Signal Processing, November 2023.
K. V. Mishra, S. Mulleti, and Y. C. Eldar, "RaSSteR: Random Sparse Step-Frequency Radar," arXiv preprint, April 2020.
Accepted & Published
2026
O. Nitsure, S. K. Dondapati, S Mulleti, “Learnable Kernels for FRI–Joint Kernel Encoder Optimization and Hardware Validation,” Elsevier Signal Processing, May 2026.
S. Reddy, J. Katual, and S. Mulleti, “Tunable Domain Adaptation Using Unfolding,” IEEE Transactions on Artificial Intelligence, March 2026.
2025
S. Mulleti, T. Zirtiloglu, A. Tan, R. T. Yazicigil, and Y. C. Eldar, “Power-Efficient Sampling: Towards low-power analog-to-digital converters,” IEEE Signal Processing Magazine, March 2025.
S. Garweet, S. Mulleti, and A. Rajwade, "Unlabelled Compressive Sensing under Sparse Permutation and Prior Information," Transactions on Machine Learning Research (TMLR), March 2025.
K. Majumder, S. R. B. Pillai, and S. Mulleti, "Greedy Selection for Heterogeneous Sensors," IEEE Transactions on Signal Processing, vol. 73, pp. 1394-1409, 2025.
A. Eyar, S. Mulleti, and Y. C. Eldar, "Unlimited sampling beyond modulo," Applied and Computational Harmonic Analysis, vol. 74, pp. 101715, 2025.
2024
A. Bhatta, S. R. B. Pillai, T. V. C. Sarma, and S. Mulleti, "Velocity Profiling of a Distributed Target in Fluctuating SNR Environments," IEEE Transactions on Signal Processing, vol. 72, pp. 2467-2482, 2024.
S. Mulleti and Y. C. Eldar, "Modulo Sampling for FRI Signals," IEEE Access, vol. 12, pp. 60369-60384, April 2024.
2023
S. Mulleti, H. Zhang, and Y. C. Eldar, "Learning to Sample: Data-Driven Sampling and Reconstruction of FRI Signals," IEEE Access, vol. 11, pp. 71048-71062, July 2023.
S. Mulleti, E. Reznitskiy, S. Savariego, M. Namer, N. Glazer, and Y. C. Eldar, "A hardware prototype of wideband high‐dynamic range analog‐to‐digital converter," IET Circuits, Devices & Systems, 17(4), 181-192, June 2023.
B. Tolooshams, S. Mulleti, D. Ba, and Y. C. Eldar, "Unrolled Compressed Blind-Deconvolution," IEEE Transactions on Signal Processing, vol. 71, pp. 2118-2129, May 2023.
2022
H. Naaman, S. Mulleti and Y. C. Eldar, "FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals," IEEE Transactions on Signal Processing, vol. 70, pp. 2267-2279, April 2022.
2021
S. Mulleti, Y. Shavit, M. Namer, and Yonina C. Eldar, "A Hardware Prototype of Sub-Nyquist Radar with Unknown Pulses," IET Electronics Letters, vol. 57, pp 945-947, September 2021.
2020
R. Fu, S. Mulleti, T. Huang, Y. Liu, and Yonina C. Eldar, "Hardware Prototype Demonstration of A Cognitive Radar with Sparse Array Antennas," IET Electronics Letters, vol. 56, issue 22, pp. 1210 – 1212, October 2020.
S. Mulleti, K. Lee, and Y. C. Eldar, "Identifiability Conditions for Compressive Multichannel Blind Deconvolution," IEEE Transactions on Signal Processing, vol. 68, pp. 4627 - 4642, July 2020.
2019
G. Feinberg, S. Mulleti, E. Shoshan and Y. C. Eldar, "Hardware Prototype Demonstration of A Cognitive Sub-Nyquist Automotive Radar," IET Electronics Letters, vol. 55, issue 9, pp. 556 – 558, May 2019.
2018
Basty Ajay Shenoy, Satish Mulleti, and Chandra Sekhar Seelamantula, "On Two-Dimensional Hilbert Integral Equations, Generalized Minimum-Phase Signals, and Phase Retrieval," IEEE Transactions on Signal Processing, vol. 66 (14), pp 3906-3917, 2018.
2017
Satish Mulleti, Amrinder Singh, Varsha Brahmkhatri, Kousik Chandra, Tahseen Raza, Sulakhshana Mukherjee, Chandra Sekhar Seelamantula, and Hanudatta Atreya, "Super Resolved Nuclear Magnetic Resonance Spectroscopy," Nature Scientific Reports, 2017.
Satish Mulleti and Chandra Sekhar Seelamantula, "Paley-Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling," IEEE Transactions on Signal Processing, vol. 65(22), pp 5860 - 5872, 2017.
2016
Satish Mulleti, Basty Ajay Shenoy, and Chandra Sekhar Seelamantula, "FRI Sampling on Structured Nonuniform Grids: Application to Super-Resolved Optical Imaging," IEEE Transactions on Signal Processing, vol. 64 (15), pp 3841 - 3853, 2016.
Basty Ajay Shenoy, Satish Mulleti, and Chandra Sekhar Seelamantula, "Exact Phase Retrieval in Principal Shift-Invariant Spaces," IEEE Transactions on Signal Processing, vol. 64 (2), pp 406-416, 2016.
2015
Satish Mulleti and Chandra Sekhar Seelamantula, "Ellipse Fitting Using the Finite Rate of Innovation Sampling Principle," IEEE Transactions on Image Processing, vol. 25 (3), pp 1451-1464, 2015.
2014
Chandra Sekhar Seelamantula and Satish Mulleti, "Super-Resolution Reconstruction in Frequency-Domain Optical-Coherence Tomography Using the Finite-Rate-of-Innovation Principle," IEEE Transactions on Signal Processing, vol. 62(19), pp. 5020-5029, 2014.