M
Malcolm Woolfson
Researcher at University of Nottingham
Publications - 82
Citations - 2289
Malcolm Woolfson is an academic researcher from University of Nottingham. The author has contributed to research in topics: Adaptive filter & Kalman filter. The author has an hindex of 20, co-authored 81 publications receiving 2158 citations.
Papers
More filters
Journal ArticleDOI
Feature selective validation (FSV) for validation of computational electromagnetics (CEM). part I-the FSV method
Alistair Duffy,A.J.M. Martin,Antonio Orlandi,Giulio Antonini,Trevor M. Benson,Malcolm Woolfson +5 more
TL;DR: A detailed analysis of the FSV method is presented, setting it firmly in the context of previous comparison techniques; it suggests the relationship between validation of graphically presented data and the psychology of visual perception, and a set of applicability tests to judge the effectiveness of computer-based CEM validation techniques.
Journal ArticleDOI
Application of empirical mode decomposition to heart rate variability analysis.
TL;DR: The results demonstrate the ability of empirical mode decomposition to isolate the two main components of one chirp series and three signals simulated by the integral pulse frequency modulation model, and consistently to isolate at least four main components localised in the autonomic bands of 14 real signals under controlled breathing manoeuvres.
Journal ArticleDOI
Numerical double integration of acceleration measurements in noise
TL;DR: In this paper, a theoretical formalism for this calibration method is derived, which is based on modelling the acceleration measurements as filtered noise, and the effects of numerical integration are included in the model.
Journal ArticleDOI
Application of region-based segmentation and neural network edge detection to skin lesions.
TL;DR: Two approaches to the skin lesion image segmentation problem are proposed where an optimal threshold is determined iteratively by an isodata algorithm and a rational Gaussian curve that fits an approximate closed elastic curve between the recognized neural network edge patterns is proposed.
Journal ArticleDOI
Evaluation of frequency tracking methods
David Thomas,Malcolm Woolfson +1 more
TL;DR: In this article, the authors present an analysis of proposed methods for tracking the fundamental power frequency to see if they have the performance necessary to cope with the requirements of future protection and control equipment.