This paper introduced the basic theories of wavelet .
本文介绍了微波的基本原理。
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。
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。
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。
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。
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。
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。
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。
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。
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。
With the development of society, the increasing demands of the watermark, the watermark embedding algorithm based on wavelet transform everyone's accreditation.
跟着社会的发铺，对水印的请求越来越高，应用小波变换嵌入水印的算法显明得到大家的认可。
The location result is not influenced by fault resistance and inception Angle when wavelet transform coefficient of aerial mode current is used in fault location.
利用线模电流的小波变换系数进行测距，不仅不受故障电阻的影响，也不受故障起始角的影响。
It is then subject to such mathematical indignities as wavelet decomposition, multi-resolution Fourier analysis, polyphase filtering and discrete cosine transformation.
接下来它还要经过一些数学处理程序，比如小波分解，多重分辨率傅立叶分析，多相过滤，离散余弦变换等。
This paper introduces the image block segmentation into the multi-focus image fusion, and USES wavelet spatial frequency as the multi-focus image clarity indicator.
本文将图像块分割引入多聚焦图像融合中，以小波空间频率作为多聚焦图像的清晰度指标。
Noise reduction with wavelet analysis used in phalange recognition of computerized skeletal age assessment system can enhance the precision of skeletal age assessment.
小波去噪声技术应用于计算机骨龄评价系统中的指骨识别能提高骨龄评价的准确度。
Therefore, a lossy Internet image transmission scheme based on wavelet transform is presented, by which Internet image transmission time can be decreased substantially.
因此，提出了一种基于小波变换的因特网图像传输方案，能大大缩短通过因特网的图像传输时间。
On the basis of analyzing time sequence concept, logic and application, puts forward the space sequence concept, applies the wavelet analysis on space sequence concept.
分析了时间序列的概念，在逻辑和应用的基础上，提出了空间序列概念，并将小波分析应用于空间序列概念。
Furthermore, in order to make a necessary foundation for further research, the relevant knowledge about wavelet analysis and generalized functions is introduced briefly.
并简要介绍小波分析及广义函数的一些基本原理与相关知识，以此作为本课题研究的必备基础。
Finally, the marked virtual images are gotten with inverse wavelet transform and a new group of control points is obtained based on the pixel value of the virtual image.
最后，进行小波逆变换，得到含有水印信息的虚拟图像，根据虚拟图像中的象素值就可以得到一组新的控制顶点坐标。
Many results show a fact that, compared with traditional DCT transform, wavelet transform has a great advantage, and it will surely be broadly used in video compression.
文中的大量实验结果表明，小波变换同传统的DCT变换相比较有很大的优越性，在视频压缩中也必将取得更广泛的应用。
To improve the location accuracy of travelling wave, the semi orthogonal wavelet algorithm is applied in the data processing to detect the wavefront of travelling waves.
在数据处理算法中，在线应用了半正交小波算法进行行波波头的检测，以提高行波定位的准确性。
That provides not only the theoretic bases for discussing the image space of wavelet transform, but also a new method to investigate the wavelet analysis theory further.
这不仅为小波变换像空间的讨论提供了理论基础，也为小波分析理论的进一步研究提供了新的途径。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
Applying wavelet denoise to improve the test signal, the dynamic characteristic parameters of a overflow valve were obtained by selecting characteristic point of the signal.
此系统应用小波降噪的方法提高测试信号的质量，然后提取信号特征点，得到溢流阀动态特性的各项参数。
EMD similars the wavelet transforms, the decomposition result is from high frequency to the low frequency distribution, namely the noise mainly concentrates in first several.
经验模式分解的主要思想类似小波变换，分解结果是由高频到低频分布的，即噪声主要集中在前几层。
EMD similars the wavelet transforms, the decomposition result is from high frequency to the low frequency distribution, namely the noise mainly concentrates in first several.
经验模式分解的主要思想类似小波变换，分解结果是由高频到低频分布的，即噪声主要集中在前几层。
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