This paper introduced Short-term Traffic Forecasting model based on Kalman filtering theory,and then it was used to emulate data from freeway com- pared with traditional methods of Time-series-model.

Study on seam tracking technique based on the Kalman Filtering;

Simultaneous Determination of Mixed Amino Acids by Kalman Filtering Spectrophotometry;

Kalman filtering based traffic information fusion method;

Simultaneous Determination of Sorbic Acid and Benzoic Acid in Soy and Vinegar by Kalman Filtering UV Spectrophotometry;

Simultaneous Determination of Zinc Cadmium and Lead by Kalman Filter-Speetrophotometry;

Kalman Filter Determination of Rare Earth Elements by ICP-AES and Correction of Spectral interferences;

This paper introduces the applications of Kalman filtering algorithm for maneuvering target with single wave band IRST, A tracking algorithm based on the method of minimum square error data fusion for maneuvering target with dual wave band IRST is realized.

It decreases the random noises by using adaptive Kalman filtering algorithm,advances the processing precision of radar datas and makes a good effect in practice application.

Further, the parameters of fuzzy model are estimated by means of Kalman filtering algorithm.

This paper introduces in detail artificial neural network, Kalman filters, pupil orientation and active distinguish, the 4 detection arithmetics in eye-tracking system.

The Kalman filters transforms the phase unwrapping into state estimate to deal with phase unwrapping and noise eliminating at the sametime.