8 citations · 18 across the 7 of their papers we have counts for
9 papers
Jump Plus AM-FM Mode Decomposition
Mojtaba Nazari, Anders Rosendal Korshøj, Naveed ur Rehman
A novel method for decomposing a nonstationary signal into amplitude- and frequency-modulated (AM-FM) oscillations and discontinuous (jump) components is proposed. Current nonstati…
Multiscale Functional Connectivity: Exploring the brain functional connectivity at different timescales
Manuel Morante, Kristian Frølich, Naveed ur Rehman
Human brains exhibit highly organized multiscale neurophysiological dynamics. Understanding those dynamic changes and the neuronal networks involved is critical for understanding h…
Time-Varying Graph Mode Decomposition
Naveed ur Rehman
Time-varying graph signals are alternative representation of multivariate (or multichannel) signals in which a single time-series is associated with each of the nodes or vertex of…
Data-driven Signal Decomposition Approaches: A Comparative Analysis
Thomas Eriksen, Naveed ur Rehman
Signal decomposition (SD) approaches aim to decompose non-stationary signals into their constituent amplitude- and frequency-modulated components. This represents an important prep…
Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis
Khuram Naveed, Sidra Mukhtar, Naveed ur Rehman
We propose a novel multivariate signal denoising method that performs long-range correlation analysis of multiple modes in input data by considering inherent inter-channel dependen…
Higher-Degree Stochastic Integration Filtering
Syed Safwan Khalid, Naveed Ur Rehman, Shafayat Abrar
We obtain a class of higher-degree stochastic integration filters (SIF) for nonlinear filtering applications. SIF are based on stochastic spherical-radial integration rules that ac…
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database
Bruno Ferrarini, Shoaib Ehsan, Naveed Ur Rehman +1
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.…
Assessing The Performance Bounds Of Local Feature Detectors: Taking Inspiration From Electronics Design Practices
Shoaib Ehsan, Adrian F. Clark, Bruno Ferrarini +2
Since local feature detection has been one of the most active research areas in computer vision, a large number of detectors have been proposed. This has rendered the task of chara…
Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems
Shoaib Ehsan, Adrian F. Clark, Naveed ur Rehman +1
The integral image, an intermediate image representation, has found extensive use in multi-scale local feature detection algorithms, such as Speeded-Up Robust Features (SURF), allo…