Based on multi-scale character of texture,the method implements two fuzzy texture filtering algorithm,the first filtering uses triangle membership function,while the second uses spatial distance in place of plane distanc.

Using fuzzy filtering technology and fractal technology, fuzzy fractal filtering is brought forward to effectively solve multi-wave disturb and to shorten the radar sub-wave duration on reflect interface that improve the resolution of radar signal.

Since Prony algorithm has high requirement to the input signal and sensitive to the noise of analysis data, this paper proposes a fuzzy filtering and Prony algorithm combined online identification method for power system low-frequency oscillation.

This paper proposes a method named fuzzy filtering of remote sensing images based on noise checking.

The statistical information derived from the combination of gray level co-occurrence matrix(GLCM) and texture filtering was used to describe the textural features of image.

A detail-preserving fuzzy filter is adopted to reduce Gaussian noise contained in other pixels.

To achieve this goal mobile tanks right to the effective tracking the background of the traditional Kalman filter algorithm computation larger,more information prior to the shortcomings,a neural network-based mobile target tracking fuzzy Kalman filtering algorithm is presented.