Data fusion of spectral and acoustic signals in LIBS to improve the measurement accuracy of carbon emissions at varying gas temperatures

A novel mid-level data fusion method integrating spectral and acoustic signals of laser-induced plasmas was proposed to improve the measurement accuracy of carbon concentrations in flue gas at varying gas temperatures.