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      Accounting for the Complex Hierarchical Topology of EEG Functional Connectivity in Network Binarisation 

      Smith, Keith
      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 ...
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      Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications 

      Alsaleem, Fahd
      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 ...
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      Approximate Adaptive Beam-Pattern Design 

      Herbert, Steven; Hopgood, James R.; Mulgrew, Bernie
      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", ...
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      The Complex Hierarchical Topology of EEG Functional Connectivity 

      Smith, Keith; Escudero, Javier
      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 ...
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      Data for publication "Determination of Void Fraction in Wet-Gas Vertical Flows via Differential Pressure Measurement" 

      Tait, Paul; Jia, Jiabin; Chen, Yuan; Wataru, Senjyu; Toru, Watanabe; Yasuo, Inamura; Valentina, Presotto; Radek, Mojsak; Gabriele, Chinello
      This data set is for publication "Determination of Void Fraction in Wet-Gas Vertical Flows via Differential Pressure Measurement". The measurement of void fraction in multiphase flow is important for a wide range of ...
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      Data set for " CNN-aided Flooding Prognostic in Packed Column using Electrical Capacitance Tomography." 

      Chen, Yuan; Liu, Chang; Jia, Jiabin; Lucquiaud, Mathieu; Yang, Yunjie
      A dataset is presented for Flooding Prognostic in Packed Column using CNN-aided Electrical Capacitance Tomography (ECT). Numeric data containing measurement of ECT capacitance, pressure drop, liquid hold-up profiles. The ...
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      Datasets of journal paper "Electrical impedance tomography for real-time and label-free cellular viability assays of 3D tumour spheroids" 

      Wu, Hancong; Yang, Yunjie; Bagnaninchi, Pierre; Jia, Jiabin
      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 ...
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      Datasets of journal paper "Exploring the Potential of Electrical Impedance Tomography for Tissue Engineering Applications" 

      Wu, Hancong; Zhou, Wenli; Yang, Yunjie; Jia, Jiabin; Bagnaninchi, Pierre
      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: ...
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      Imaging for a Forward Scanning Automotive Synthetic Aperture Radar 

      Gishkori, Shahzad; Daniel, Liam; Gashinova, Marina; Mulgrew, Bernard
      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: ...
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      Imaging Moving Targets for a Forward Scanning Automotive SAR 

      Gishkori, Shahzad; Wright, David; Daniel, Liam; Gashinova, Marina; Mulgrew, Bernard
      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 ...
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      Imaging Moving Targets for a Forward Scanning SAR without Radar Motion Compensation 

      Gishkori, Shahzad; Daniel, Liam; Gashinova, Marina; Mulgrew, Bernard
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      Impact of VLC on Light Emission Quality of White LEDs 

      Popoola, Wasiu
      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
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      Improved Accuracy of Accelerated 3D T2* Mapping with Coherent Parallel Maximum Likelihood Estimation 

      Bano, Wajiha; Golbabaee, Mohammad; Benjamin, Arnold; Marshall, Ian; Davies, Mike
      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 ...
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      Improved SAR Imaging Via Cross-Learning from Camera Images 

      Gishkori, Shahzad; Wright, David; Daniel, Liam; Gashinova, Marina; Mulgrew, Bernard
      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.
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      Matlab codes for "Amplitude- and Fluctuation-based Dispersion Entropy" 

      Azami, Hamed; Escudero, Javier
      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 ...
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      Matlab codes for "Amplitude-aware Permutation Entropy: Illustration in Spike Detection and Signal Segmentation" 

      Azami, Hamed; Escudero, Javier
      ## 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 ...
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      Matlab Codes for "Evaluation of Matrix Factorisation Approaches for Muscle Synergy Extraction" paper 

      Ebied, Ahmed; Escudero, Javier
      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 ...
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      Matlab codes for "Improved Multiscale Permutation Entropy for Biomedical Signal Analysis: Interpretation and Application to Electroencephalogram Recordings" 

      Azami, Hamed; Escudero, Javier
      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 ...
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      Matlab codes for "Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals" 

      Azami, Hamed; Escudero, Javier
      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, ...
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      Matlab codes for "Refined Composite Multivariate Generalized Multiscale Fuzzy Entropy: A Tool for Complexity Analysis of Multichannel Signals" 

      Azami, Hamed; Escudero, Javier
      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 ...
       

       

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