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.
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.
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.
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.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。
This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.
在对图像的小波变换原理讨论的基础上，提出了一种较为实用的图像多尺度边缘检测方法，同时对如何抑制噪声的干扰进行了讨论。
Based on the discussion of the theory of wavelet transform of images, a practical multi scale edge detecting method is put forward and the ways to suppress noise interference are discussed.
通过对这两种方法的定性对比，得出小波变换边缘检测算法检出的图像具有边缘清晰、细腻，抗噪性能强等特点。
By qualitative contrast between this two methods, explain wavelet transform edge detection algorithm detects the image that have edge distinct, fine, fight to chirp performance strong etc.
实测资料的处理结果表明，利用小波变换可以进行压制MT中的静态偏移，是一种有效的、潜在的静校正方法。
The result shows that the wavelet transformation would be used to constrain the static shift in MT, which is effective and potential method of static correction.
方法通过对宿主图像和水印图像的小波变换，该算法把水印图像的低频成分嵌入到原始宿主图像的低频部分。
Methods Based on wavelet transform of watermark image and host image, low-frequency ingredient of watermark is embedded in low-frequency part of host image.
基于信号在不同尺度下小波变换系数模不同的变化特征，结合最优梯度估计算法提出了一种边缘检测方法。
Based on different properties of the coefficient modulus of the signal in different scale wavelet transform, conjunction the best estimate of gradient algorithm an edge detecting method is proposed.
提出了一种用于多尺度边缘检测的小波变换滤波器系数的计算方法，并且以具体例子进行了检验，表明了该方法的有效性。
A method of calculating wavelet transformation filter coefficients for multiscale edge detection is given in this paper, and the efficiency of the method is clarified.
对基于小波变换的信号检测方法进行了深入的研究，在不同尺度上分析和处理信号的各种频率成份。
In the paper, the way of detection of signal based on wavelet transform is researched, it analyses and processes signal of the various frequency at different scales.
提出了一种应用小波变换提取分类特征的基于支撑矢量机的通信信号调制识别方法。
A new method of modulation identification for communication signals, using wavelet transform to extract characteristics and based on support vector machines (SVM), is proposed.
基于提升方法构造的整数小波变换，采用行索引稀疏存储方案，可以对海量影像数据进行高保真的压缩。
The method of sparsely row-indexed storage has been used to compress large volumes of image data, on the base of integer wavelet transform constructed by lift scheme.
在运动非常激烈时，则首先采用小波变换，然后再用本方法进行块匹配搜索，可减少大量复杂的运算量。
If the movement is drastic, adopt the wavelet transformation first, then use this method to search block match, which can reduce a great deal of complicated calculating.
小波变换具有良好的时频局部性，具有变焦距的特点，对故障信号中的奇异点能够准确识别，是论文中应用的主要分析方法。
Having good time-frequency localization character, and correctly identifying singularity point in fault signal, Wavelet is the main analysis method in this paper.
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.
用小波变换的方法分析多组分溶液的吸收光谱，可以测量多组分混合溶液中各组分的含量。
Using Absorption spectroscopic analysis to analyze Multi component solution with wavelet transform, the quantities of each component in the mixed solution can be measured.
提出了一种基于小波变换域的块匹配运动估计搜索的新算法，模拟实验表明，利用此算法可获得比一般运动块匹配方法更大的峰值信噪比，具有更好的性能复杂度比。
The authors present a new algorithm for block-matching motion estimation based on wavelet transform. The simulation shows that this algorithm has better PSNR and performance-to-complexity ratio.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
基于小波变换的分析方法，提出了基于定子三相电流之间相位对称度检测的定子绕组匝间短路故障在线检测新方法。
Based on wavelet transform, a novel on-line detection method is presented, which is based on the detection of symmetry degree among the stator three-phase line currents phases.
小波分析(或称小波变换)是一种新的时频分析方法，它具有良好的时频局部化特性，适用于电力系统故障分析。
Wavelet analysis, also called wavelet transform, is a new analysis method with good time frequency localization characteristic, so it is suitable for fault analysis of power system.
小波变换是一个新兴数学分支，本文利用小波变换的特性研究图象数据压缩方法，以探寻高比例、高质量压缩图象数据的新途径。
The paper, by using the transform characteristic of Wavelet, mainly studies the method for image data compression in order to search for the new way of high proportion, high quality image compression.
实验表明该方法融合结果的均方误差比拉普拉斯金字塔算法和小波变换方法降低约30%- 60%。
The experimental results demonstrate that the MSE (mean square error) reduced by this proposed approach decreases 30% - 60% than that by Laplacian pyramid and discrete wavelet transform approaches.
从理论上计算各个参数的设置范围，并且证明小波变换方法比FFT方法有较高的频率分辨率。
Calculates the setting range of each parameter in theory, and proves the method of wavelet transformation has higher frequency resolution than the method of FFT.
小波变换局部极大值滤波方法利用信号与噪声不同的尺度变化特性来区分信号与噪声，将噪声从信号中分离出来。
A filtering method based on wavelet transform with local maximum value was discussed. The method could distinguish signal from the noise according to the different features of scale change.
针对小波变换多分辨分析(mra)的特点，本文提出一种多尺度分级的自适应模糊权重中值滤波的去噪方法。
According to the feature of the MRA, this paper presents a noise filtering method of adaptive fuzzy threshold for wavelet classification base on multi resolution.
针对小波变换多分辨分析(mra)的特点，本文提出一种多尺度分级的自适应模糊权重中值滤波的去噪方法。
According to the feature of the MRA, this paper presents a noise filtering method of adaptive fuzzy threshold for wavelet classification base on multi resolution.
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