A new waveform matching algorithm:V-P-V algorithm ──used for the Chinese signature verification;

Based on the waveform match to the returned signal a new target detection and discrimination method is introduced in this paper.

This paper discusses 4 types of processing methods: time-spatial domain frequency splitting random noise attenuation, frequency-spatial domain coherent noise attenuation, waveform match processing and gather data fitting 3-D random noise attenuation.

A new extraction method of partial discharge (PD) is proposed in this paper, which utilized Laplace wavelet based on waveform matching recognition algorithm.

With the waveform matching method discussed in this paper to estimate the mean value of the ends, whether the end value is extremum or not, the end effect can be eliminated effectively.

Lateral predication of 3D seismic data for layer horizontal variety using Dynamic Waveform Matching (DWM);

We use a technique of dynamic waveform matching to build cross-well stratigraphic correlation relationships and automatically draw a path diagram of the cross-well stratigraphic contrast through piecewise line fitting, log character extraction, match cost calculation, and etc.

Application of cascade matched filtering in mixed source data processing.;

Using matched filtering method based on cosine transform to separate gravitational and magnetic a-nomaly.;

Application of matched filtering technique to 3D achievement data processing of Linyi.;

In particular,the implementation of the matched filtering.

In this paper,we put forward that the radar can transmit the LFM signal with wide band and long time and apply the matched filter to the signal processing to enhance the SNR of the helicopter blade echoes.

In order to detect the object in seabed in underwater acoustic image automatically,a synchro method based on matched filter and fractional detection is proposed in this paper.

Faint signal processing of lidar based on wavelet transform and matching filter;

On the basis of analyzing the signal character of the static infrared-earth-sensor,a new digital signal processing based on matching filter was developed to find horizon information from the signal serial with low SNR.

The signal detection unit of the system is analyzed with matching filters to process the echo signals with idealized results, which plays an important role to the extraction of characteristic signals and the improvement of detection precision.