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Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels

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IEEE2019-11-29 更新2026-04-17 收录
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https://ieee-dataport.org/documents/molecular-signal-tracking-and-detection-methods-fluid-dynamic-channels
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This data set is regarding the paper submitted to theIEEE Transactions on Molecular, Biological, and Multi-Scale Communications. The title of the paper is 'Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels' with the ID ofTMBMC-TPS-19-0014.R2. The data are images taken from the particle image velocimetry (PIV) method and the Planar Laser-Inducedfluorescence (PLIF) method. The images are being used to describe these two experimental methods for the molecular communication community. They are in two separate folders accompanied by the MATLAB code for processing the images. The abstract of the paper is:This method and data paper sets out the macro-scale experimental techniques that can enable fluid dynamic knowledge to inform molecular communication performance and design. Fluid dynamic experiments can capture latent features that allow the receiver to detect coherent signal structures and infer transmit parameters for optimal decoding. Our paper reviews two major molecular signal tracking and detection techniques using optical imaging: Particle Image Velocimetry (PIV) and Planar Laser-Induced Fluorescence (PLIF). We offer step-by-step procedures and data for some of the key procedures we have used in previous research outputs, as well as comparative evaluation in terms of performance accuracy and practical complexity.
提供机构:
University of Warwick; Cranfield University
创建时间:
2019-11-29
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