Institute for Digital Communications
Browse by
The Institute for Digital Communications (IDCOM) develops theory, algorithms and hardware for the next generation of signal processing, imaging and communication systems.
Items in this Collection
-
Radio frequency-chain selection for energy and spectral efficiency maximization in hybrid beamforming under hardware imperfections
This dataset contains MATLAB functions to plot the main results for the following paper: Evangelos Vlachos, John Thompson, Aryan Kaushik and Christos Masouros,"Radio frequency-chain selection for energy and spectral ... -
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 ... -
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. -
Multi-beam Sonar Image Sequences
The dataset supports the following article: Diamantis K., Yaghoobi M., Davies M. and Hopgood J. 2019, 'A multi-frame resolution enhancement framework for multi-beam sonar systems' submitted for review to the IEEE Transactions ... -
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 ... -
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: ... -
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 ... -
Source codes of network simulator for testing adaptive centralized random access
This data set contains the source codes for the simulations presented in the paper. J. Kim, and D. Laurenson, and J. Thompson, "Adaptive Centralized Random Access for Collision Free Wireless Local Area Networks" IEEE ... -
Structure-Adaptive Large-Scale Convex Optimization Toolbox v1.0
This toolbox includes the Matlab implementations of the GPIS and Acc-GPIS algorithms for efficiently solving the l_1 constrained least-squares regression and nuclear-norm constrained multivariate regression tasks, proposed ... -
Sampling order optimization preserves contrast and improves clinical diagnostic utility of accelerated prospective 3D brain MRI: a radiological assessment study on healthy volunteers
The code and data herein distributed reproduce the results published in the paper: Arnold JulianVinoj Benjamin, Wajiha Bano, Grant Mair, Mike Davies, and Ian. Marshall,“Sampling order optimization preserves contrast and ... -
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: ... -
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 ... -
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", ... -
Network of Nodes Simulator
This is the simulator for the paper Sthapit, S., Thompson, J., Robertson, N. M., Hopgood, J. "Computational Load Balancing on the Edge in Absence of Cloud and Fog" IEEE Transactions on Mobile Computing (Accepted manuscript). ... -
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 ... -
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 "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 ... -
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 ... -
Source codes of the network simulator for centralized random backoff in Wi-Fi networks
This data set contains the source codes for the simulations presented in the paper: J. Kim, D. Laurenson, and J. Thompson, "Centralized Random Backoff for Collision Resolution in Wi-Fi Networks," IEEE Transactions on ...
RSS 1.0