| Marginalized Adaptive Particle Filtering for Non-linear Models with Unknown Time-varying Noise Parameters E Ozkan, V Smidl, S Saha, C Lundquist, F Gustafsson Automatica, 2013 | 126 | 2013 |
| Pre-clinical efficacy of combined therapy with novel β-catenin antagonist BC2059 and histone deacetylase inhibitor against AML cells W Fiskus, S Sharma, S Saha, B Shah, SGT Devaraj, B Sun, S Horrigan, ... Leukemia 29 (6), 1267-1278, 2015 | 118 | 2015 |
| Particle filtering with dependent noise processes S Saha, F Gustafsson IEEE Transactions on Signal Processing 60 (9), 4497-4508, 2012 | 73 | 2012 |
| Marginalized particle filters for Bayesian estimation of Gaussian noise parameters S Saha, E Özkan, F Gustafsson, V Šmídl 2010 13th International Conference on Information Fusion, 1-8, 2010 | 50 | 2010 |
| Particle based MAP state estimation: A comparison S Saha, Y Boers, H Driessen, PK Mandal, A Bagchi 2009 12th International Conference on Information Fusion, 278-283, 2009 | 43 | 2009 |
| Gaussian proposal density using moment matching in SMC methods S Saha, PK Mandal, Y Boers, H Driessen, A Bagchi Statistics and Computing 19, 203-208, 2009 | 41 | 2009 |
| On parameter estimation of stochastic volatility models from stock data using particle filter-application to AEX index SI Aihara, A Bagchi, S Saha International journal of innovative computing, information and control 5 (1 …, 2009 | 30 | 2009 |
| Inverse reliability based structural design for system dependent critical earthquake loads S Saha, CS Manohar Probabilistic engineering mechanics 20 (1), 19-31, 2005 | 17 | 2005 |
| Noise Robust Online Inference for Linear Dynamic Systems Saha, S. arXiv.org, 2015 | 14 | 2015 |
| Estimating volatility and model parameters of stochastic volatility models with jumps using particle filter SI Aihara, A Bagchi, S Saha IFAC Proceedings Volumes 41 (2), 6490-6495, 2008 | 14 | 2008 |
| Particle based smoothed marginal MAP estimation for general state space models S Saha, PK Mandal, A Bagchi, Y Boers, H Driessen IEEE Transactions on Signal Processing, 2013 | 13 | 2013 |
| Particle filtering with dependent noise F Gustafsson, S Saha 2010 13th International Conference on Information Fusion, 1-4, 2010 | 13 | 2010 |
| A new approach to particle based smoothed marginal MAP S Saha, PK Mandal, A Bagchi 2008 16th European Signal Processing Conference, 1-5, 2008 | 10 | 2008 |
| Non-parametric Bayesian measurement noise density estimation in non-linear filtering E Özkan, S Saha, F Gustafsson, V Smidl Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International …, 2011 | 9 | 2011 |
| Rao-Blackwellized Particle Filter for Markov Modulated Nonlinear Dynamic Systems S Saha, G Hendeby IEEE workshop on Statistical Signal Processing (SSP14), http://edas.info/p15153, 2014 | 8 | 2014 |
| The benefits of down-sampling in the particle filter F Gustafsson, S Saha, U Orguner 14th International Conference on Information Fusion, 1-6, 2011 | 7 | 2011 |
| Optimization of gain and bit error rate of an erbium doped fiber amplifier for WDM system S Saha, P Majumder, M Soundarya International Journal of Engineering Research & Technology (IJERT) 2 (8 …, 2013 | 6 | 2013 |
| Method and system for detecting the owner of an abandoned object from a surveillance video VV Gayatri, S Saha US Patent 11,164,007, 2021 | 5 | 2021 |
| Bayesian Cramer-Rao Bound for Nonlinear Filtering with Dependent Noise Processes C Fritsche, S Saha, F Gustafsson 16th International Conference on Information Fusion (FUSION), 2013 | 5 | 2013 |
| Marginalized Particle Filter for Dependent Gaussian Noise Processes S Saha, F Gustafsson Aerospace Conference 2012 IEEE, 2012 | 5 | 2012 |
Pranab K MandalAssistant Professor, Department of Applied Mathematics, University of TwenteE-mail confirmado em utwente.nl
