A deep neural network architecture to model reference evapotranspiration using a single input meteorological parameter SM Ravindran, SKM Bhaskaran, SKN Ambat Environmental processes 8 (4), 1567-1599, 2021 | 45 | 2021 |
Fusion of algorithms for compressed sensing SK Ambat, S Chatterjee, KVS Hari IEEE Transactions on Signal Processing 61 (14), 3699-3704, 2013 | 45 | 2013 |
A committee machine approach for compressed sensing signal reconstruction SK Ambat, S Chatterjee, KVS Hari IEEE Transactions on signal processing 62 (7), 1705-1717, 2014 | 23 | 2014 |
Low complexity joint estimation of synchronization impairments in sparse channel for MIMO–OFDM system R Jose, SK Ambat, KVS Hari AEU-International Journal of Electronics and Communications 68 (2), 151-157, 2014 | 22 | 2014 |
Fusion of greedy pursuits for compressed sensing signal reconstruction SK Ambat, S Chatterjee, KVS Hari 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 21 | 2012 |
Comparison of deep neural networks for reference evapotranspiration prediction using minimal meteorological data MR Sowmya, MBS Kumar, SK Ambat 2020 advanced computing and communication Technologies for High Performance …, 2020 | 16 | 2020 |
An iterative framework for sparse signal reconstruction algorithms SK Ambat, KVS Hari Signal Processing 108, 351-364, 2015 | 16 | 2015 |
Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing SK Ambat, S Chatterjee, KVS Hari Signal Processing 97, 146-151, 2014 | 15 | 2014 |
Adaptive selection of search space in look ahead orthogonal matching pursuit SK Ambat, S Chatterjee, KVS Hari 2012 National Conference on Communications (NCC), 1-5, 2012 | 13 | 2012 |
Reduced look ahead orthogonal matching pursuit PB Swamy, SK Ambat, S Chatterjee, KVS Hari 2014 Twentieth National Conference on Communications (Ncc), 1-6, 2014 | 12 | 2014 |
On selection of search space dimension in compressive sampling matching pursuit SK Ambat, S Chatterjee, KVS Hari TENCON 2012 IEEE Region 10 Conference, 1-5, 2012 | 12 | 2012 |
An automated machine learning methodology for the improved prediction of reference evapotranspiration using minimal input parameters S Mangalath Ravindran, SK Moorakkal Bhaskaran, S K. Ambat, ... Hydrological Processes 36 (5), e14571, 2022 | 8 | 2022 |
Modified greedy pursuits for improving sparse recovery KG Deepa, SK Ambat, KVS Hari 2014 Twentieth National Conference on Communications (NCC), 1-5, 2014 | 8 | 2014 |
Subspace pursuit embedded in orthogonal matching pursuit SK Ambat, S Chatterjee, KVS Hari TENCON 2012 IEEE Region 10 Conference, 1-5, 2012 | 8 | 2012 |
Analysis of intra-pulse frequency-modulated, low probability of interception, radar signals AR Sachin, SK Ambat, KVS Hari Sādhanā 42, 1037-1050, 2017 | 6 | 2017 |
Design and implementation of a novel real time target tracking scheme for passive SONARs using MVDR beam forming and Kalman filtering VO Joseph, SK Ambat, J George 2009 International Symposium on Ocean Electronics (SYMPOL 2009), 23-29, 2009 | 5 | 2009 |
Batch look ahead orthogonal matching pursuit GS Muralikrishnna, SK Ambat, KVS Hari 2018 Twenty Fourth National Conference on Communications (NCC), 1-5, 2018 | 3 | 2018 |
Fusion of sparse reconstruction algorithms for multiple measurement vectors KG Deepa, SK Ambat, KVS Hari Sādhanā 41, 1275-1287, 2016 | 3 | 2016 |
Compressive beamforming using greedy algorithms MK Baburaj, SK Ambat, VS Sheeba 2016 International Conference on Communication Systems and Networks (ComNet …, 2016 | 3 | 2016 |
Improved vehicle sub-type classification for acoustic traffic monitoring M Ashhad, U Goenka, A Jagetia, P Akhtari, SK Ambat, M Samuel 2023 National Conference on Communications (NCC), 1-6, 2023 | 2 | 2023 |