Object Temperature Estimation Based on Their Noise Characteristics With Wavelet Signal Transform
The article provides a brief analysis of existing types of noises based on various physical sources of origin. It is shown that thermal noise is most appropriate for temperature estimation. To increase the sensitivity and accuracy of the estimation of such noise from temperature changes, it is proposed to use the wavelet area of signal conversion. The measurement system is based on signals processing in the time-frequency area.