A method of fractional clutter suppression based on wavelet and a multi-scale Kalman filter is proposed.

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.

Compared with traditional ones such as Kalman filter and least squares, the technique results in more accurate estimations of OD split proportions.

Based upon the principles of Kalman filter method,the authors defined a new parameter,relative chemomic error(ε),to evaluate the asynchronous nature of the components in TCMs,and a derivative parameter as synchronization factor(SF) to quantify the synchronicity of the chemome .

The comparison of three residuals in Kalman filtering model;

Kalman filtering identification of Winkler foundation’s parameter based on Mindlin theory;

SINS refined initial alignment based on Elman neural network and Kalman filtering;

The released chemomic levels of TCMs were processed by Kalman filter method with stochastic simulation data as an illustration of the methodology feasibility.

And combined with project example,it introduces the application of Kalman filter method in linear control,points out that the key problem of linear control is deciding the construction camber of beams.

Application of Kalman filter to measurement of sound power for medical ultrasonic diagnostic equipment;

Self-tuning decoupled fusion Kalman filter based on Riccati equation;

Application of Kalman Filter in a Single Automatic Tracking of Moving Targets;