Software package and dataset for “Large-Scale Data Processing Platform for Laser Absorption Tomography (Matlab)”

This software package provides a robust and scalable solution for processing large-scale data generated by Laser Absorption Tomography (LAT) experiments. Designed specifically for industrial applications, the platform accelerates LAT signal processing by leveraging parallel computing architecture, significantly reducing computation time. The platform includes advanced fault detection to identify and exclude noise-distorted measurements, ensuring accurate tomographic reconstructions.

Key features of this software include:

- Parallel Computing: Efficiently processes extensive LAT data by distributing tasks across multiple CPU cores, reducing the overall processing time by over 40% compared to traditional single-threaded methods.
- Fault Detection Scheme: Automatically identifies and removes noisy data, enhancing the accuracy of reconstructions.
- Flexible Configuration: Supports customization of tomographic settings, including the number of projection angles, laser beams per angle, and imaging rates, making it adaptable to various LAT applications.

This software is ideal for researchers and engineers working in high-resolution reactive flow-field imaging, providing a critical tool for analyzing and interpreting complex data sets in real time.