Automated acquisition of spectral data and development of peak detection algorithms
Xinying Zhao, Jingqi Lu · 2024
In this study, we investigate the application of spectral analysis techniques in software development, addressing the limitations of existing platforms. We introduce an integrated spectral analysis platform designed to improve data processing, enhance algorithmic capabilities, and provide better user interaction. The platform is an advanced peak detection algorithm based on multi-scale, which is optimized for spectral data analysis. The system architecture, built using C++/Qt, ensures reliable data acquisition, processing, and visualisation, while providing a more intuitive and user-friendly interface. This work lays the groundwork for future research and broader applications across multiple disciplines.