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。
Noise reduction with wavelet analysis used in phalange recognition of computerized skeletal age assessment system can enhance the precision of skeletal age assessment.
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。
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.
特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
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。
Because that wavelet transform can effectively extract the characters, the Adaptive Resonance Theory (ART) Neural Networks has a good learning ability.
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。
With the development of society, the increasing demands of the watermark, the watermark embedding algorithm based on wavelet transform everyone's accreditation.
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。
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.
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。
Compared with deconvolution method, the well log curves transformed by wavelet analysis contain more detailed information and reach higher vertical resolution.
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。
Therefore, a lossy Internet image transmission scheme based on wavelet transform is presented, by which Internet image transmission time can be decreased substantially.
他的研究兴趣包括图像和多维信号处理，计算图像，小波和多尺度几何分析，可视化信息的表述。
His research interests include image and multi-dimensional signal processing, computational imaging, wavelets and multiscale geometric analysis, and visual information representation.
建立了基于小波变换的运动图像编码系统模型，实现了数据的高效压缩并得到了良好的恢复图像。
A system model of image sequence coding based on wavelet transform is established. Then a high data compression ratio is realized and satisfactorily reconstructed image can be obtained.
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。
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.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
利用小波变换域中人眼的视觉特性，提出了一种提取水印时不需要原始图像的数字图像水印算法。
By making use of human sight property in wavelet domain, a binary image watermark algorithm without using the original image in the watermark extraction has been presented.
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。
For the image high-frequency part, use the new evaluation factor - wavelet neighborhood information to choose the ultimate wavelet high-frequency coefficients.
在常规横向剪切干涉仪的基础上，利用波前周期延拓的假设，基于小波变换的方法实现了波前重构。
On the assumption of wavefront prolongation, a new optical phase retrieval algorithm by conventional lateral shear interferometer with wavelet transform is introduced.
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。
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).
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。
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.
小波变换技术具有很强的信号分离能力容易把随机噪声从信号中分离出来，从而提高信号的信噪比。
Wavelet Transfer (WT) is a powerful technique in signal separation. It is very easy for WT to improve the signal-to-noise (SNR) by separating the random noise and useful signal.
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.
这表明了小波变换对于非整次谐波的检测和分析是可行的，从而为谐波的精确检测提供了有效的手段。
It proves that it is feasible to apply the wavelet transformation to the detection of non-integer harmonics, thus, an effective means is provided for accurate detection of harmonics.
并将小波神经网络非线性组合预测方法引入软基沉降预测中，以最大限度地提高软基沉降预测的准确性。
I also introduced wavelet neural network nonlinear combination forecast method in soft base settlement forecast to furthest advance the veracity of soft-base settlement forecast.
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。
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.
复值小波变换能准确分辨出信号中所包含的幅值信息和相位信息，因而，适用于电力系统的故障信号的检测。
Because complex wavelet transforms can exactly identify amplitude and phase information in signal to be dealt with, they are suitable for detection of fault signals in power system.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
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