并学习了小波变换的定义、连续小波变换、离散小波变换。
And study Wavelet Transform definition, Continue Wavelet Transform and Discrete Wavelet Transform.
提出了一种基于双端电压暂态信号小波变换的高压输电线路快速保护算法。
A new high speed protection criterion for high voltage transmission line based on the wavelet transform of transient voltage signals from the two ends of the line is presented.
时频分析方法是利用小波变换原理，从地震波的时间域和频率域同时对其作出分析。
Time frequency analysis method is used to analyze the time domain and frequency domain of seismic waves at the same time according to the principle of wavelet transformation.
利用自相似过程在小波分解下的特性，提出了基于小波变换的自相似信号检测算法。
A detection approach based on wavelet transform is proposed for these self-similar signals, which is obtained from the properties of the self-similar process after wavelet transform.
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.
构造了正交小波变换矩阵，分析了平稳模型和非平稳模型下正交小波变换的残余相关特性。
Orthogonal wavelet transform (OWT) matrix is constructed and the residual correlation property of OWT is analyzed under the stationary and nonstationary models.
在以上小波分析理论的基础上进一步讨论了二维正交小波变换和离散图像的小波变换实现。
Based on mentioned-above wavelet analysis theories, two-dimension biorthogonal wavelet and the implementation of wavelet transform on discrete images have been discussed.
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.
本文讨论了小波变换及小波变换的奇异性检测理论，并将其应用于暂态行波故障特征的分析。
The paper discuss the singularity detection theory of wavelet transform, this theory is applied to analysis of fault characteristics of the transient traveling waves.
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.
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.
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.
由信号小波变换的奇异点在多尺度上的综合表现来表示信号是小波变换引人注意的另一应用领域。
It is an attractive application field for wavelet transform because the signal is expressed by the comprehensive behavior of wavelet transform of singularity spot in multi-dimensional space.
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).
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.
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.
通过对小波变换表征信号突变原理的研究，给出了基于小波变换的音频信号基频提取的原理和算法。
By researching on the theory of the signal sudden change token by wavelet, this paper provides the principle and algorithm of audio signal pitch extraction based on wavelet principle.
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.
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.
菲舍尔更喜欢一种比较不常用的数学方法——小波变换，这种方法可以将声音分解成比较短的离散的小波成分。
Fischer prefers to use a less common mathematical process known as the wavelet transformation, which represents the sound in terms of short, discrete components known as wavelets.
介绍了小波变换的定义及小波变换的性质，特别介绍了零通小波的理论及其如何在地震勘探资料处理中的应用。
The paper introduces the definition of wavelet transform and its properties. Especially the philosophy for zero-crossing wavelet and how it can be used in seismic prospecting are presented.
小波变换作为频率和时间的二元函数，使之可以很方便地在频率和时间域中同时进行地震波能量的吸收衰减补偿。
Wavelet transform involves the two-variate function of frequency and time, which makes it convenient to simultaneously compensate for attenuation of seismic energy in frequency and time domains.
小波变换作为频率和时间的二元函数，使之可以很方便地在频率和时间域中同时进行地震波能量的吸收衰减补偿。
Wavelet transform involves the two-variate function of frequency and time, which makes it convenient to simultaneously compensate for attenuation of seismic energy in frequency and time domains.
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