Beth Jelfs

Orcid: 0000-0002-6844-7154

According to our database1, Beth Jelfs authored at least 33 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Evaluation of Module Dynamics in Functional Brain Networks After Stroke.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Brain Functional Connectivity Networks do not Return to Resting-state During Control Trials in Block Design Experiments.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Motor Imagery Observed by fNIRS.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022
Mapping Extended Landmarks for Radar SLAM.
CoRR, 2022

Landmark Management in the Application of Radar SLAM.
CoRR, 2022

2021
An Efficient and Flexible Spike Train Model Via Empirical Bayes.
IEEE Trans. Signal Process., 2021

An Adaptive All-Pass Filter for Time-Varying Delay Estimation.
IEEE Signal Process. Lett., 2021

Cooperative Localization Using Distance Measurements for Mobile Nodes.
Sensors, 2021

2020
Application of Image Processing and Circular Statistics to 3D Cellular Alignment.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Prosthetic hand control: A multidisciplinary review to identify strengths, shortcomings, and the future.
Biomed. Signal Process. Control., 2019

Normalized Mutual Information of phonetic sound to distinguish the speech of Parkinson's disease.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Fast & Efficient Delay Estimation Using Local All-Pass & Kalman Filters.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Time-Varying Delay Estimation Using Common Local All-Pass Filters with Application to Surface Electromyography.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Identifying Noisy Electrodes in High Density Surface Electromyography Recordings Through Analysis of Spatial Similarities.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Estimating Muscle Fibre Conduction Velocity in the Presence of Array Misalignment.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
Normalised Mutual Information of High-Density Surface Electromyography during Muscle Fatigue.
Entropy, 2017

Entropy of surface EMG reflects object weight in grasp-and-lift task.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Computational classification of different wild-type zebrafish strains based on their variation in light-induced locomotor response.
Comput. Biol. Medicine, 2016

Fuzzy entropy based nonnegative matrix factorization for muscle synergy extraction.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Short latency hand movement classification based on surface EMG spectrogram with PCA.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Cross-frequency information transfer from EEG to EMG in grasping.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Recruitment of small synergistic movement makes a good pianist.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2012
An adaptive approach for the identification of improper complex signals.
Signal Process., 2012

Modelling of brain consciousness based on collaborative adaptive filters.
Neurocomputing, 2012

2011
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals.
IEEE Trans. Neural Networks, 2011

2010
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing.
J. Signal Process. Syst., 2010

2009
Collaborative adaptive filtering for machine learning.
PhD thesis, 2009

2008
Online tracking of the degree of nonlinearity within complex signals.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Exploiting Nonlinearity in Adaptive Signal Processing.
Proceedings of the Advances in Nonlinear Speech Processing, 2007

A Unifying Approach to the Derivation of the Class of PNLMS Algorithms.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

A Class of Adaptively Regularised PNLMS Algorithms.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Collaborative Adaptive Learning using Hybrid Filters.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
An Online Method for Detecting Nonlinearity Within a Signal.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006


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