| Designing sequence set with minimal peak side-lobe level for applications in high resolution radar imaging SP Sankuru, R Jyothi, P Babu, M Alaee-Kerahroodi IEEE Open Journal of Signal Processing 2, 17-32, 2020 | 11 | 2020 |
| Automatic classification of toco-signals: An approach towards comprehensive monitoring of labour progress R Jyothi, RS Soans, PV Bhat 2016 international conference on signal processing and communications (SPCOM …, 2016 | 11 | 2016 |
| SOLVIT: A reference-free source localization technique using majorization minimization R Jyothi, P Babu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2661-2673, 2020 | 10 | 2020 |
| Rapid bird activity detection using probabilistic sequence kernels A Thakur, R Jyothi, P Rajan, AD Dileep 2017 25th European Signal Processing Conference (EUSIPCO), 1754-1758, 2017 | 9 | 2017 |
| Classification of labour contractions using KNN classifier R Jyothi, S Hiwale, PV Bhat 2016 International Conference on Systems in Medicine and Biology (ICSMB …, 2016 | 9 | 2016 |
| Multi-scale energy (MuSE) plug and play framework for inverse problems JR Chand, M Jacob arXiv preprint arXiv:2305.04775, 2023 | 5 | 2023 |
| TELET: A monotonic algorithm to design large dimensional equiangular tight frames for applications in compressed sensing R Jyothi, P Babu Signal Processing 195, 108503, 2022 | 5 | 2022 |
| Design of high-dimensional Grassmannian frames via block minorization maximization R Jyothi, P Babu, P Stoica IEEE Communications Letters 25 (11), 3624-3628, 2021 | 5 | 2021 |
| Majorization-minimization based hybrid localization method for high precision localization in wireless sensor networks K Panwar, P Babu, R Jyothi arXiv preprint arXiv:2205.03881, 2022 | 4 | 2022 |
| SLOPE: A monotonic algorithm to design sequences with good autocorrelation properties by minimizing the peak sidelobe level R Jyothi, P Babu, M Alaee-Kerahroodi Digital Signal Processing 116, 103142, 2021 | 4 | 2021 |
| PIANO: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression R Jyothi, P Babu arXiv preprint arXiv:2002.09133, 2020 | 4 | 2020 |
| Local monotone operator learning using non-monotone operators: MnM-MOL M John, JR Chand, M Jacob IEEE Transactions on Computational Imaging, 2024 | 3 | 2024 |
| PIANO: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression R Jyothi, P Babu Signal Processing 194, 108459, 2022 | 3 | 2022 |
| ATOM for MLE of Toeplitz structured covariance matrices for RADAR applications A Aubry, P Babu, A De Maio, RC Jyothi 2022 IEEE Radar Conference (RadarConf22), 1-6, 2022 | 3 | 2022 |
| New Methods for MLE of Toeplitz Structured Covariance Matrices with Applications to RADAR Problems A Aubry, P Babu, A De Maio, R Jyothi arXiv preprint arXiv:2110.12176, 2021 | 3 | 2021 |
| Novel algorithms based on majorization minimization for nonnegative matrix factorization R Jyothi, P Babu, R Bahl IEEE Access 7, 115682-115695, 2019 | 3 | 2019 |
| Plug-and-Play Deep Energy Model for Inverse problems JR Chand, M Jacob arXiv preprint arXiv:2302.11570, 2023 | 1 | 2023 |
| Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems JR Chand, M Jacob arXiv preprint arXiv:2402.05422, 2024 | | 2024 |
| Fast image recovery using plug-and-play multi-scale energy (MuSE) framework JR Chand, M Jacob 2023 57th Asilomar Conference on Signals, Systems, and Computers, 32-35, 2023 | | 2023 |
| PROMPT: Parallel Iterative Algorithm for norm linear regression via Majorization Minimization with an application to semi-supervised graph learning R Jyothi, P Babu arXiv preprint arXiv:2110.12190, 2021 | | 2021 |
Prabhu BabuAssociate Professor, CARE, IIT Delhi在 care.iitd.ac.in 的电子邮件经过验证
