Super-resolution reconstruction in frequency-domain optical-coherence tomography using the finite-rate-of-innovation principle CS Seelamantula, S Mulleti IEEE Transactions on Signal Processing 62 (19), 5020-5029, 2014 | 50 | 2014 |
Identifying optimal Gaussian filter for Gaussian noise removal SK Kopparapu, M Satish 2011 Third National Conference on Computer Vision, Pattern Recognition …, 2011 | 47 | 2011 |
Ellipse fitting using the finite rate of innovation sampling principle S Mulleti, CS Seelamantula IEEE Transactions on Image Processing 25 (3), 1451-1464, 2015 | 42 | 2015 |
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals H Naaman, S Mulleti, YC Eldar arXiv preprint arXiv:2106.05564, 2021 | 34 | 2021 |
Exact phase retrieval in principal shift-invariant spaces BA Shenoy, S Mulleti, CS Seelamantula IEEE Transactions on Signal Processing 64 (2), 406-416, 2015 | 34 | 2015 |
Paley–Wiener characterization of kernels for finite-rate-of-innovation sampling S Mulleti, CS Seelamantula IEEE Transactions on Signal Processing 65 (22), 5860-5872, 2017 | 32 | 2017 |
Ultrasound image reconstruction using the finite-rate-of-innovation principle S Mulleti, S Nagesh, R Langoju, A Patil, CS Seelamantula 2014 IEEE International Conference on Image Processing (ICIP), 1728-1732, 2014 | 27 | 2014 |
Residual recovery algorithm for modulo sampling E Azar, S Mulleti, YC Eldar ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 22 | 2022 |
Range-Doppler Decoupling and Interference Mitigation using Cognitive Random Sparse Stepped Frequency Radar KV Mishra, S Mulleti, YC Eldar 2020 IEEE Radar Conference (RadarConf20), 1-6, 2020 | 18 | 2020 |
Robust unlimited sampling beyond modulo E Azar, S Mulleti, YC Eldar arXiv preprint arXiv:2206.14656, 2022 | 17 | 2022 |
Deep-sparse array cognitive radar AM Elbir, S Mulleti, R Cohen, R Fu, YC Eldar 2019 13th International conference on Sampling Theory and Applications …, 2019 | 15 | 2019 |
Edge assisted fast binarization scheme for improved vehicle license plate recognition M Satish, VL Lajish, SK Kopparapu 2011 national Conference on Communications (NCC), 1-5, 2011 | 14 | 2011 |
Super-resolved nuclear magnetic resonance spectroscopy S Mulleti, A Singh, VP Brahmkhatri, K Chandra, T Raza, SP Mukherjee, ... Scientific reports 7 (1), 1-10, 2017 | 13 | 2017 |
Identifiability conditions for compressive multichannel blind deconvolution S Mulleti, K Lee, YC Eldar IEEE transactions on signal processing 68, 4627-4642, 2020 | 12 | 2020 |
Unfolding neural networks for compressive multichannel blind deconvolution B Tolooshams, S Mulleti, D Ba, YC Eldar ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
FRI sampling on structured nonuniform grids—Application to super-resolved optical imaging S Mulleti, BA Shenoy, CS Seelamantula IEEE Transactions on Signal Processing 64 (15), 3841-3853, 2016 | 10 | 2016 |
Modulo sampling of FRI signals S Mulleti, YC Eldar IEEE Access, 2024 | 9 | 2024 |
A fast-learning sparse antenna array S Mulleti, C Saha, HS Dhillon, YC Eldar 2020 IEEE Radar Conference (RadarConf20), 1-6, 2020 | 8 | 2020 |
Lasso-based fast residual recovery for modulo sampling SB Shah, S Mulleti, YC Eldar ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
Hardware prototype demonstration of a cognitive sub‐Nyquist automotive radar G Feinberg, S Mulleti, E Shoshan, YC Eldar Electronics Letters 55 (9), 556-558, 2019 | 7 | 2019 |