Application of MATLAB in Experimental Data Analysis and Visualization

This work highlights the use of MATLAB as a computational tool in experimental investigations. MATLAB provides powerful functionalities for data acquisition, preprocessing, analysis, and graphical visualization of experimental results. In the present study, experimental data are collected from laboratory tests and processed using custom MATLAB codes to generate plots, perform error analysis, and compare theoretical predictions with experimental outcomes. The approach enables efficient handling of large datasets, minimizes manual errors, and improves the accuracy and reproducibility of results. This integration of experimentation with MATLAB coding demonstrates the importance of computational tools in modern engineering and scientific research.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-21
DOI
https://doi.org/10.5281/zenodo.17671419
Primary Topic
Statistical and numerical algorithms
Type
article
Field-Weighted Citation Impact
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article

Application of MATLAB in Experimental Data Analysis and Visualization

Zenodo (CERN European Organization for Nuclear Research)
Statistical and numerical algorithms
article

Application of MATLAB in Experimental Data Analysis and Visualization

article en

Abstract

This work highlights the use of MATLAB as a computational tool in experimental investigations. MATLAB provides powerful functionalities for data acquisition, preprocessing, analysis, and graphical visualization of experimental results. In the present study, experimental data are collected from laboratory tests and processed using custom MATLAB codes to generate plots, perform error analysis, and compare theoretical predictions with experimental outcomes. The approach enables efficient handling of large datasets, minimizes manual errors, and improves the accuracy and reproducibility of results. This integration of experimentation with MATLAB coding demonstrates the importance of computational tools in modern engineering and scientific research.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 32%
Statistical and numerical algorithms
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