Wavelet extraction is the most important technique in the wave impedance inverse with well restrictions.
对于井约束的波阻抗反演来说，子波提取是反演中最重要的技术环节之一。
Seismic wavelet extraction and stratum acoustic impedance inversion are very important in seismic inversion.
地震子波的提取和地层波阻抗反演是地震反演中非常重要的两个方面。
According to the theory of discrete inversion, an accurate method of seismic wavelet extraction was proposed by using well log data and seismic data.
根据离散反演理论，综合测井和地震资料，充分考虑了地震子波的振幅特点和相位特点，给出了精确计算井旁地震子波的方法。
Wavelet extraction is the key to the inversion by means of speed analog annealing in order to enhance the resolution power of superimposed seismic waves.
子波提取是采用优化快速模拟退火法进行反演，提高叠加地震波分辨率的关键。
In the oil and gas exploration field, high-resolution seismic wavelet extraction technology is the important research project, which is urgent to be solved.
高分辨率地震子波提取技术是油气地震勘探领域高分辨率处理技术亟待解决的重要研究课题。
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.
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。
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.
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。
In this paper, an image multiscale edges extraction algorithm based on wavelet is presented.
本文给出一种基于子波变换的图象多尺度边缘提取方法。
On the basis of analyzing the basic features of impact signal noise from reactor loose parts, the wavelet nonlinear threshold value filtering method for the use of impact signal extraction is studied.
在分析反应堆松动部件冲击信号噪声基本特征基础上，利用小波非线性阈值滤波方法对冲击信号的提取进行了研究。
A fast location algorithm using classifying shrinkage in parameters space and a feature extraction method using improved wavelet cross-zero detection is presented.
提出了参数空间分级收缩的新的定位算法及其改进的小波过零检测的特征提取算法。
A feature extraction method of high-range-resolution radar profiles, which takes advantage of wavelet packet transform and modified SVD (singular value decomposition) was proposed.
提出了基于小波包变换和改进奇异值分解的高分辨雷达目标一维距离像特征提取方法。
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.
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。
A joint wavelet transform correlator was proposed for binary image feature extraction.
提出了联合子波变换相关器及其应用于二值图象的特征提取。
Finally, based on the work of above, proposed a method of description and extraction image color and texture features in the dual tree complex wavelet transformation domain.
最后，在上面工作的基础上，提出了基于对偶数复小波域的图像的颜色和纹理特征的描述和提取方法。
A method of signal mutative symptom extraction is presented, in which the theory of wavelet transform is applied. Moreover, this method is used in fault diagnosis of test turntables.
应用小波变换理论提出了一种信号突变征兆提取方法，并将它应用于转台故障诊断中。
This study choose the North China Plain as study area and proposed a new method of multiple cropping extraction from remote sensing data based on wavelet transform.
该文以我国华北平原为研究区域，提出了基于小波变换的耕地复种指数遥感提取方法。
A wavelet domain singularity detection algorithm, based on the theory of pulse extraction, is applied in partial discharge (PD) pulse extraction utilizing the singularity of PD signal.
在提出脉冲提取思想的基础上，利用局部放电信号所固有的奇异性特征，将小波变换的奇异性检测原理应用于提取局部放电脉冲。
In the study of brain-computer interfaces, a method based on best basis of wavelet packet decomposition was proposed. The method is used for the feature extraction of electroencephalogram.
在脑机接口研究中，针对脑电特征抽取，提出一种基于小波包最优基分解的方法。
The novel method of Estimation and extraction of seismic Wavelet-Higher order cumulants is presented in this thesis at first.
本文首先引出地震子波估计和外推的最新方法—高阶累积量法。
Similarly, the work of texture feature extraction is obtained by using co-occurrence matrix or frequency analysis based on wavelet transform depending on different characteristics of images.
在纹理特征提取方面，针对不同纹理特点分别采用了基于共生矩阵的统计纹理分析和基于小波变换的频谱纹理分析两种方法予以实现。
Experiment results of lD signal segmentation and 2-D image features extraction with optical wavelet transform are reported.
着重介绍了一维的和二维的光学子波变换实验系统和实验技术。
The extraction algorithm of underwater objects based on wavelet edge detection is proposed to extract objects from complicated background combined with mathematics morphologic operation.
提出了基于小波多尺度边缘检测的水下图像处理算法，结合数学形态学运算和区域分割算法，把目标从背景中提取出来。
Wavelet transform is a very useful method for image features extraction and pattern recognition.
子波变换是目标特征抽取和模式识别的有效方法。
Wavelet transform is a very useful method for image features extraction and pattern recognition.
子波变换是目标特征抽取和模式识别的有效方法。
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