| Denoising based on multivariate stochastic volatility modeling of multiwavelet coefficients SH Fouladi, M Hajiramezanali, H Amindavar, JA Ritcey, P Arabshahi IEEE transactions on signal processing 61 (22), 5578-5589, 2013 | 13 | 2013 |
| Recovery of independent sparse sources from linear mixtures using sparse Bayesian learning SH Fouladi, SE Chiu, BD Rao, I Balasingham IEEE Transactions on Signal Processing 66 (24), 6332-6346, 2018 | 9 | 2018 |
| Accurate heart rate estimation from camera recording via MUSIC algorithm SH Fouladi, I Balasingham, TA Ramstad, K Kansanen 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 8 | 2015 |
| Stochastic differential equations for modeling of high maneuvering target tracking M Hajiramezanali, SH Fouladi, JA Ritcey, H Amindavar ETRI Journal 35 (5), 849-858, 2013 | 5 | 2013 |
| Blind source separation using temporal correlation, non-Gaussianity and conditional heteroscedasticity SH Fouladi, I Balasingham, K Kansanen, TA Ramstad IEEE Access 6, 25336-25350, 2018 | 3 | 2018 |
| Blind separation of dependent sources using multiwavelet based on M-GARCH model SH Fouladi, H Amindavar 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 3 | 2012 |
| Recovery of linearly mixed sparse sources from multiple measurement vectors using L1-minimization SH Fouladi, I Balasingham 2018 26th European Signal Processing Conference (EUSIPCO), 563-567, 2018 | 2 | 2018 |
| Extracting remote photoplethysmogram signal from endoscopy videos for vessel and capillary density recognition SH Fouladi, I Balasingham, K Kansanen, TA Ramstad 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 2 | 2016 |
| Improved feature selection based on scatter degree A Zare, SH Fouladi 2011 International Conference on Machine Learning and Cybernetics 1, 97-101, 2011 | 2 | 2011 |
| On improving recovery performance in multiple measurement vector having dependency SH Fouladi, I Balasingham IEEE Access 7, 3287-3297, 2018 | 1 | 2018 |
| Autoencoder-based generation of subsurface models AS Shahrebabaki, SH Fouladi, E Holtar, L Vynnytska Second EAGE Digitalization Conference and Exhibition 2022 (1), 1-5, 2022 | | 2022 |
| A Novel Maneuvering Target Tracking Approach by Stochastic Volatility GARCH Model E Hajiramezanali, SH Fouladi, H Amindavar arXiv preprint arXiv:1902.04671, 2019 | | 2019 |
| Non-Linear Non-Stationary Heteroscedasticity Volatility for Tracking of Jump Processes SH Fouladi, E Hajiramezanali arXiv preprint arXiv:1902.04499, 2019 | | 2019 |
| On Signal Recovery: Independent Component Analysis for Multiple Measurement Vectors and Source Separation SH Fouladi NTNU, 2018 | | 2018 |
| Sensing, Signal Processing, and Communication for WBANs SH Fouladi, R Chávez-Santiago, PA Floor, I Balasingham, TA Ramstad ZTE Communications 12 (3), 3-12, 2014 | | 2014 |
| About the Cover: The graphic on the cover is a flow diagram of the method proposed in “Source Counting and Separation Based on Simplex Analysis” by Laufer-Goldshtein, Talmon … R Hayakawa, K Hayashi, A Aubry, A De Maio, A Zappone, M Razaviyayn, ... | | |
Prof. Ilangko BalasinghamOslo University Hospital & Norwegian University of Science & Technology (NTNU)Adresse e-mail validée de medisin.uio.no
