656 citations · 683 across the 6 of their papers we have counts for
6 papers
Latent Mode Decomposition
Manuel Morante, Naveed ur Rehman
We introduce Variational Latent Mode Decomposition (VLMD), a new algorithm for extracting oscillatory modes and associated connectivity structures from multivariate signals. VLMD a…
Wavelet based multivariate signal denoising using Mahalanobis distance and EDF statistics
Khuram Naveed, Naveed ur Rehman
A multivariate signal denoising method is proposed which employs a novel multivariate goodness of fit (GoF) test that is applied at multiple data scales obtained from discrete wave…
FPGA based design for online computation of Multivariate EMD (MEMD)
Sikender Gul, Muhammad Faisal Siddiqui, Naveed Ur Rehman
Multivariate or multichannel data have become ubiquitous in many modern scientific and engineering applications, e.g., biomedical engineering, owing to recent advances in sensor an…
Multivariate Variational Mode Decomposition
Naveed ur Rehman, Hania Aftab
In this paper, a generic extension of variational mode decomposition (VMD) algorithm for multivariate or multichannel data sets is presented. We first define a model for multivaria…
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database
Bruno Ferrarini, Shoaib Ehsan, Ales Leonardis +2
Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research.…
Automatic Selection of the Optimal Local Feature Detector
Bruno Ferrarini, Shoaib Ehsan, Naveed Ur Rehman +2
A large number of different feature detectors has been proposed so far. Any existing approach presents strengths and weaknesses, which make a detector optimal only for a limited ra…