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1·This paper introduced the basic theories of wavelet .

本文介绍了微波的基本原理。

2·A multiuser detection method based on adaptive wavelet network is proposed.

提出了基于自适应子波网络的多用户检测方法。

3·Transmission of wavelet coded images over lossy packet networks presents an image reconstruction problem.

在丢包信道中传输子波编码图像时，存在图像重构问题。

4·These methods all use surface consistency to separate out amplitude and wavelet informations, bringing good results.

这些方法都利用了地表一致性特点，来分离振幅与子波信息，并取得了较好的效果。

5·Four component surface consistent wavelet deconvolution method well makes up for insufficiency of the above deconvolution methods.

四分量地表一致性子波反褶积方法较好地弥补了上述反褶积方法的不足。

6·Because that wavelet transform can effectively extract the characters, the Adaptive Resonance Theory (ART) Neural Networks has a good learning ability.

由于小波变换能有效地提取字符的结构特征，自适应共振(art)网络有很好的学习能力。

7·Theoretic calculation show that wavelet can be reconstruct from double spectrum of theoretical seismic data for seismic wavelet with different characters.

理论计算表明，对不同性质的地震子波，均可从理论地震记录的双谱中重构子波。

8·A new effective image segmentation algorithm Based on Wavelet Operator is presented, which is tied tightly in Wavelet analysis with Fuzzy, information theory.

提出了一种新的有效的图像阈值分割算法。本算法将小波理论，模糊集理论和信息论三者有机的结合起来。

9·Compared with deconvolution method, the well log curves transformed by wavelet analysis contain more detailed information and reach higher vertical resolution.

该方法与反褶积方法比较，小波变换后的测井曲线更能反应细节信息，具有更高的纵向分辨率。

10·For the image high-frequency part, use the new evaluation factor - wavelet neighborhood information to choose the ultimate wavelet high-frequency coefficients.

使用由方差和平均梯度构造的新的评价因子——小波邻域信息量作为融合规则选取小波高频系数。