Name
Affiliation
Papers
NAVEED UR REHMAN
COMSATS Inst Informat Technol, Dept Elect Engn, Islamabad 44000, Pakistan
29
Collaborators
Citations 
PageRank 
52
84
12.66
Referers 
Referees 
References 
276
492
249
Search Limit
100492
Title
Citations
PageRank
Year
A Statistical Approach To Signal Denoising Based On Data-Driven Multiscale Representation00.342021
Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis00.342021
Median ensemble empirical mode decomposition10.482020
FPGA-Based Design for Online Computation of Multivariate Empirical Mode Decomposition00.342020
Multivariate Variational Mode Decomposition.60.452019
FPGA-Based Real-Time Implementation of Bivariate Empirical Mode Decomposition00.342019
Data-Driven Multivariate Signal Denoising Using Mahalanobis Distance.00.342019
FPGA Based Real-Time Implementation of Online EMD With Fixed Point Architecture00.342019
A Multiscale Denoising Framework Using Detection Theory with Application to Images from CMOS/CCD Sensors.00.342019
An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled with the Probabilistic Patch Based Denoiser00.342019
An Improved Multivariate Wavelet Denoising Method Using Subspace Projection10.362017
An Enhanced Differential Evolution Based Energy Management System for Smart Grids00.342017
A joint framework for multivariate signal denoising using multivariate empirical mode decomposition.100.582017
Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition.70.452017
Robust stochastic integration filtering for nonlinear systems under multivariate t-distributed uncertainties.00.342017
Translation invariant multi-scale signal denoising based on goodness-of-fit tests.10.352017
Heuristic Algorithm Based Energy Management System In Smart Grid00.342016
Performance comparison of image feature detectors utilizing a large number of scenes.10.352016
Higher-Degree Stochastic Integration Filtering.00.342016
A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors.10.352016
A Study Of The Characteristics Of Memd For Fractional Gaussian Noise10.372016
Multi-scale image denoising based on goodness of fit (GOF) tests.00.342016
Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices00.342015
Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition90.512015
Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems80.822015
Performance characterization of image feature detectors in relation to the scene content utilizing a large image database00.342015
Emd Via Memd: Multivariate Noise-Aided Computation Of Standard Emd261.352013
Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals90.732013
Qualitative analysis of rotational modes within three dimensional empirical mode decomposition30.442009