Browsing Institute for Digital Communications by Title
Now showing items 1-20 of 30
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Accounting for the Complex Hierarchical Topology of EEG Functional Connectivity in Network Binarisation
Herein are the network adjacency matrices, scripts and MATLAB functions used to provide the results in "Accounting for the complex hierarchical topology of EEG functional connectivity in network binarisation". Research ... -
Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications
This data set contains the MATLAB software used to reproduce results in the paper entitled "Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications". It has been accepted for publication by ... -
Approximate Adaptive Beam-Pattern Design
Matlab code supporting the publication: Herbert, Hopgood and Mulgrew, "Computationally simple MMSE (A-optimal)adaptive beam-pattern design for MIMO activesensing systems via a linear-Gaussian approximation", ... -
The Complex Hierarchical Topology of EEG Functional Connectivity
Understanding the complex hierarchical topology of functional brain networks is a key aspect of functional connectivity research. Such topics are obscured by the widespread use of sparse binary network models which are ... -
Datasets of journal paper "Electrical impedance tomography for real-time and label-free cellular viability assays of 3D tumour spheroids"
This dataset comprises raw voltage measurement data to reconstruct images in Fig 6 in paper "Electrical impedance tomography for real-time and label-free cellular viability assays of 3D tumour spheroids". ABSTRACT: There ... -
Datasets of journal paper "Exploring the Potential of Electrical Impedance Tomography for Tissue Engineering Applications"
This dataset comprises raw voltage measurement data obtained to reconstruct images in Fig 3 and Fig 4 of the paper "Exploring the Potential of Electrical Impedance Tomography for Tissue Engineering Applications". ABSTRACT: ... -
Imaging for a Forward Scanning Automotive Synthetic Aperture Radar
Data supporting the publication: Gishkori, S, Daniel, L, Gashinova, M & Mulgrew, B 2018, 'Imaging for a Forward Scanning Automotive Synthetic Aperture Radar' IEEE Transactions on Aerospace and Electronic Systems. DOI: ... -
Imaging Moving Targets for a Forward Scanning Automotive SAR
This dataset supports the following publication: Gishkori, S, Wright, D, Daniel, L, Gashinova, M & Mulgrew, B 2019, 'Imaging Moving Targets for a Forward Scanning Automotive SAR' IEEE Transactions on Aerospace and Electronic ... -
Impact of VLC on Light Emission Quality of White LEDs
Data set for the published paper: W. O. Popoola, "Impact of VLC on Light Emission Quality of White LEDs," in Journal of Lightwave Technology, vol. 34, no. 10, pp. 2526-2532, May15, 15 2016. doi: 10.1109/JLT.2016.2542110 -
Improved Accuracy of Accelerated 3D T2* Mapping with Coherent Parallel Maximum Likelihood Estimation
The purpose of this study is to investigate the importance of coherent phase information in improving the accuracy of the accelerated T2* mapping as compared to the magnitude-only fitting. Our approach extends the acceleration ... -
Improved SAR Imaging Via Cross-Learning from Camera Images
This dataset contains three MATLAB files: * "data_read.m" - Software to read the data (code, plain text); * "camera_data.mat" - Camera images; * "radar_data.mat" - Radar images. -
Matlab codes for "Amplitude- and Fluctuation-based Dispersion Entropy"
Dispersion entropy (DispEn) is a recently introduced entropy metric to quantify the uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in the characterisation of time series. It ... -
Matlab codes for "Amplitude-aware Permutation Entropy: Illustration in Spike Detection and Signal Segmentation"
## Background and Objective: ## Signal segmentation and spike detection are two important biomedical signal processing applications. Often, non-stationary signals must be segmented into piece-wise stationary epochs or ... -
Matlab Codes for "Evaluation of Matrix Factorisation Approaches for Muscle Synergy Extraction" paper
The muscle synergy concept provides a widely-accepted paradigm to break down the complexity of motor control. In order to identify the synergies, different matrix factorisation techniques have been used in a repertoire of ... -
Matlab codes for "Improved Multiscale Permutation Entropy for Biomedical Signal Analysis: Interpretation and Application to Electroencephalogram Recordings"
Permutation entropy (PE) is a well-known and fast method extensively used in many physiological signal processing applications to measure the irregularity of time series. Multiscale PE (MPE) is based on assessing the PE ... -
Matlab codes for "Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals"
Multiscale entropy (MSE) is a widely-used tool for the analysis of biomedical signals. It was proposed to overcome the deficiencies of conventional entropy methods when quantifying the complexity of time series. However, ... -
Matlab codes for "Refined Composite Multivariate Generalized Multiscale Fuzzy Entropy: A Tool for Complexity Analysis of Multichannel Signals"
Multiscale entropy (MSE) is an appealing tool to characterize the complexity of time series over multiple temporal scales. Recent developments in the field have tried to extend the MSE technique in different ways. Building ... -
Matlab codes for "Refined Multiscale Fuzzy Entropy based on Standard Deviation for Biomedical Signal Analysis"
Multiscale entropy (MSE) has been a prevalent algorithm to quantify the complexity of fluctuations in the local mean value of biomedical time series. Recent developments in the field have tried to improve the MSE by reducing ... -
Matlab codes related to "Weighted network estimation by the use of topological graph metrics"
Matlab code related to the article "Weighted network estimation by the use of topological graph metrics" by L. Spyrou & J. Escudero, IEEE Transactions on Network Science and Engineering. Topological metrics of graphs ...
