实验证明该方法的去噪效果明显优于正交小波方法和普通双正交小波变换的去噪效果。
The experiment results show the de-noising effect of proposed method is better than those of the orthogonal wavelet transform and the common biorthogonal wavelet transform.
由于小波具有时频局部性，因此与频域方法相比，小波方法更能有效地分析函数的局部正则性。
Because the wavelet has time-frequency local property, the wavelet method can analyze the local regularity of function more effectively than frequency domain.
另外，对小波变换后，内外表面缺陷信号的不同特征进行了分析，初步研究了内外伤分类的小波方法。
In addition, the difference between the outside defect and the inside defect is studied, and the flaw recognition and classification method is discussed based on wavelet analysis.
该算法充分的利用了B -样条函数在边缘拟合上的优势以及小波方法的多尺度优势，算法的处理结果令人满意。
This algorithm makes good use of the B-Spline function's well performance in edge estimation and wavelet 's multi-scales character. The experiment results are satisfactory.
该算法充分的利用了B -样条函数在边缘拟合上的优势以及小波方法的多尺度优势，算法的处理结果令人满意。
This algorithm makes good use of the B-Spline functions well performance in edge estimation and wavelets multi-scales character. The experimental results are satisfactory.
该报告结合现代信号处理领域的小波分析方法，对卫星和射电源vlbi观测信号的相关处理进行了小波方法研究。
With wavelet method of modern signal process domain, the report carries out researching into wavelet method of correlation process of VLBI of satellite and radio resource.
结合汉语发音声学特性，提出了音节的重叠音素分割策略，并利用小波方法实现了音节的分割，实验证明该方法分割准确可靠。
In this paper, based on Mandarin acoustic characteristics, an overlapped segmenting scheme is presented and wavelets are used to segment phoneme.
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.
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.
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.
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.
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.
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.
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.
介绍了在工业计算机断层扫描成像(ICT)中探测工件断面内边缘的小分析波方法。
The wavelet analysis method, used in ICT to detect edges within a cross section is introduced.
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.
采用数字图像处理技术，应用小波变换方法，实现了轮胎图像中空心型号文字的提取，可作为轮胎分检自动化的一个重要控制信息。
Using technology of digit image processing and method of wavelet transform, in order to detect the edge of number of tire type, it is important information for tire detecting automation.
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.
在对车型识别去噪和边缘检测进行分析的基础上，提出了一种基于反对称小波的检测方法。
On the basis of the analysis of denoising and edge detection of vehicle recognition, this paper proposes an effective detection method based on anti-symmetrical wavelet.
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.
给出了周期正交样条小波的计算方法。用这种周期正交样条小波可方便地处理有限区间上的问题。
In this paper, we present the computational methods of periodic orthogonal spline wavelets, which can be used to process the problems on the finite interval.
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.
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.
提出了一种基于电流模的开关电流技术取代基于电压模的开关电容技术实现连续小波变换的方法。
This paper proposed a method for the implementation of continuous wavelet-transform (CWT) using switched-current (si) technology, based on current mode and a substitute of switched-capacitor.
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.
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.
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