A method of implementing adaptive enhancement of variance on an image by a recursive low-pass filter is introduced mainly in this paper.

Considering the characteristics of the inconspicuous difference between targets and backgrounds and the low contrast in infrared images,an adaptive enhancement algorithm based on fuzzy particle swarm optimization is used in the infrared image processing.

An edge detection algorithm based on adaptive enhancement is presented in this paper on the basis of the analysis of traditional edge detection algorithm.

Roll casting flatness detection signal analysis based on adaptive filtering;

Method for deriving respiratory signal from ECG signal based on adaptive filtering;

Particle velocity measurement in gas/solid two-phase flow through adaptive filtering;

Research of adaptive filter processing in magnetic flux leakage signal obtained from oil pipeline;

Application of adaptive filter in active noise control;

Application of adaptive filtering algorithm based on empirical mode decomposition to suppress DSI in PD detection;

Wave impedance estimation using self-adaptive filtering;

Application of self-adaptive filtering technique in GIS local discharge detection;

The results show that after human body image filter by self-adaptive filtering, not only the filter effect is better than the traditional filtering, but also prefects the human body image's edge information.

And through analyze of the ubiquitous disturbances, a scheme of measuring circuit is proposed based on self-adapting filter.