The Application of Wavelet Transform in Kalman Filtering of Analytical Chemistry Signals
Hui Fang · Jisuanji yu yingyong huaxue · 2000
This paper presents a new way to estimate the measurement variance of noise in the analytical chemistry signals for the Kalman filter by means of implementing the wavelet analysis, according to that wavelet transformation can separate the noise in high frequency band from the original signal.