In this paper two algorithms have been proposed to track the low-elevation targets in the presence of multipath: the interacting multiple model (IMM) algorithm and the non-Gaussian filtering.

This paper studies the effect of the Gaussian filtering on various evaluation methods according to the characteristic of diameters themselves.

On the basis of comprehensive researches of the existing Gaussian filtering method for surface roughness, the convolution algorithm and fast Fourier transform algorithm for the Gaussian regression filter and Gaussian robust filter have been deduced and the C codes have been programmed.

The shortcoming of Gaussian filtering applied to characterize the engineering surfaces was presented.

Application of Gauss filtering and information entropy principle in veri- fication of arithmetic mean deviation

Gauss filtering has been adopted on original granite surface profile curves,and then research its roughness.

The image is enhanced through the method that combines histogram and Gauss filter.

This paper presents a Gauss filter method to eliminate noise of threshold images,the threshold image is changed into smooth one which has smaller burr and has better connectedness.

This paper compares the long wavelength components of gravity anomalies derived from satellite altimetry with ones from the new global gravity field model EIGEN_1S of the CHAMP within the same spatial resolution,based on 2_D Gauss filter.

An adaptive Gaussian filter with scale adjustable;

The Canny edge detection algorithm which used Gaussian filter for smoothing the image may lead to lower SNR and higher edge location error, which produced false edge and corner roundness.

By convolving input image with optimal scale Gaussian filters, the final edge map can be obtained at last.