Naveed ur Rehman
Naveed ur Rehman
Aarhus University Denmark
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα
Παρατίθεται από
Παρατίθεται από
Multivariate empirical mode decomposition
N Rehman, DP Mandic
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2010
Filter bank property of multivariate empirical mode decomposition
N Ur Rehman, DP Mandic
IEEE transactions on signal processing 59 (5), 2421-2426, 2011
Empirical mode decomposition-based time-frequency analysis of multivariate signals: The power of adaptive data analysis
DP Mandic, N ur Rehman, Z Wu, NE Huang
IEEE signal processing magazine 30 (6), 74-86, 2013
Empirical mode decomposition for trivariate signals
N ur Rehman, DP Mandic
IEEE Transactions on signal processing 58 (3), 1059-1068, 2010
Classification of motor imagery BCI using multivariate empirical mode decomposition
C Park, D Looney, N ur Rehman, A Ahrabian, DP Mandic
IEEE Transactions on neural systems and rehabilitation engineering 21 (1), 10-22, 2013
EMD via MEMD: multivariate noise-aided computation of standard EMD
N ur Rehman, C Park, NE Huang, DP Mandic
Advances in Adaptive Data Analysis 5 (02), 1350007, 2013
Seizure detection from EEG signals using multivariate empirical mode decomposition
A Zahra, N Kanwal, N ur Rehman, S Ehsan, KD McDonald-Maier
Computers in biology and medicine 88, 132-141, 2017
Integral images: efficient algorithms for their computation and storage in resource-constrained embedded vision systems
S Ehsan, A Clark, N Rehman, K McDonald-Maier
Sensors 15 (7), 16804-16830, 2015
Bivariate empirical mode decomposition for unbalanced real-world signals
A Ahrabian, NU Rehman, D Mandic
IEEE Signal Processing Letters 20 (3), 245-248, 2013
Application of multivariate empirical mode decomposition for seizure detection in EEG signals
N ur Rehman, Y Xia, DP Mandic
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
A joint framework for multivariate signal denoising using multivariate empirical mode decomposition
H Hao, HL Wang, NU Rehman
Signal Processing 135, 263-273, 2017
Dynamical complexity of human responses: a multivariate data-adaptive framework
MU Ahmed, N Rehman, D Looney, TM Rutkowski, DP Mandic
Bulletin of the Polish Academy of Sciences: Technical Sciences, 433-445, 2012
A multivariate empirical mode decompositionbased approach to pansharpening
SMU Abdullah, N ur Rehman, MM Khan, DP Mandic
IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3974-3984, 2015
Multi-scale pixel-based image fusion using multivariate empirical mode decomposition
N Rehman, S Ehsan, S Abdullah, M Akhtar, D Mandic, K McDonald-Maier
Sensors 15 (5), 10923-10947, 2015
Hybrid multiscale wind speed forecasting based on variational mode decomposition
M Ali, A Khan, NU Rehman
International Transactions on Electrical Energy Systems 28 (1), e2466, 2018
Multivariate Variational Mode Decomposition
N ur Rehman, H Aftab
IEEE Transactions on Signal Processing 67 (23), 6039-6052, 2019
Bivariate EMD-based image fusion
N Rehman, D Looney, TM Rutkowski, DP Mandic
2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 57-60, 2009
Dynamically-Sampled Bivariate Empirical Mode Decomposition
N Rehman, W Safdar, U Rehman, D Mandic
IEEE, 2014
Median ensemble empirical mode decomposition
X Lang, N ur Rehman, Y Zhang, L Xie, H Su
Signal Processing 176, 107686, 2020
Translation invariant multi-scale signal denoising based on goodness-of-fit tests
N ur Rehman, SZ Abbas, A Asif, A Javed, K Naveed, DP Mandic
Signal Processing 131, 220-234, 2017
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