Related Experiment Video
Updated: Jul 17, 2026

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
Published on: August 5, 2022
[Accurate curve fitting and revising of infrared data based on NUBSC]
Xian-pei Wang1, Ai-ju Zhang, Shao-xiong Li
1Laboratory of System Integration and Faults Diagnostics Science of Wuhan University, Wuhan 430072, China.
Abstract:
Accurate curve fitting of infrared spectrum data is important for building standard spectrum, and is the basic requirement for qualitative and quantitative spectral analysis. In the present paper, B-Spline was used to accurately fit the infrared spectrum data. Based on the max norm distances of B-Spline curve fitting arithmetic, this method not only resolved the curve fitting problem of infrared data, but also provided a convenient way to orient peak values of spectrum. The authors introduced the B-Spline, realized curve fitting of quadratic non-uniform B-Spline curves (for short: NUBSC), and described the precision control of curve fitting of infrared spectrum data.
Related Concept Videos
Infrared (IR) Spectroscopy: Overview
Different compounds display unique properties due to their...
IR Spectrometers
Calibration Curves: Linear Least Squares
For data that follow a straight line, the standard method for fitting is the linear...
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview
The ATR process begins by directing a beam...
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration
According to Hooke's law, the vibrational frequency is directly proportional to the...
Influence of Earth's Curvature and Atmospheric Refraction on Leveling

