This paper aims to consummate the wavelet theory, combining with its excellent time and frequency feature , present some new algorithms and use to image recognition.
旨在完善小波理论的同时，结合小波的时频域特性设计出新的应用算法，将其用于图像识别。
In the case that spacial continuity can be proved, but not clearly enough to provide fracture information, post stack processing based on the wavelet theory will be necessary.
如果这种现象在空间具有连续性，但还不能清楚反映断点信息，则只能依据小波理论对资料进行叠后的进一步处理。
This paper derives an energy attenuation formula of seismic waves in the wavelet-scale domain from the wavelet theory and seismic wave propagation equation in anelastic medium.
本文从小波理论出发，结合地震波在黏弹性介质中的传播方程，推导出小波尺度域地震波能量衰减公式。
A new algorithm for selecting detecting threshold based on the wavelet theory is presented to the environment when pulse sequences distribute unevenly in the whole sampling time.
将小波理论应用到重频分选中，提出了一种新的检测门限，适用于脉冲列分布不均匀的信号环境。
But in wavelet parameters optimization problem, wavelet analysis in the application of the theory to the actual fault diagnosis system, has a large number of practical work to do.
但在小波参数的最优化问题上，在将小波分析的理论应用到实际的故障诊断系统中，还有大量的实际工作要做。
Wavelet - based method is proposed to estimate fractal dimension. It is shown in theory and in experiment that the new method is simple to implement and robust to noises.
本文提出了分形维数估计的子波函数方法。理论和计算机模拟实验表明，新方法不仅实现简单，而且具有较强的噪声抑制能力。
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.
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。
Because that wavelet transform can effectively extract the characters, the Adaptive Resonance Theory (ART) Neural Networks has a good learning ability.
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。
Using robust property of matrix norms and DWT for low frequency component, a new lossless watermarking method with low computational complexity via the theory and property and wavelet is proposed.
利用延拓矩阵范数的理论与性质，并结合矩阵范数与图像小波变换低频分量稳健性的特点，提出了一种低复杂度的无损水印方案。
The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.
方向性小波理论为图像处理提供了一种新的稀疏表示方法，能够更有效地捕捉图像中的几何结构。
The approach based on wavelet theory and phase space reconstruction for analyzing the law of time-dependent deformation of crack according to the observation data of dam is proposed.
本文基于小波分析理论和相空间重构技术，根据大坝裂缝的实测资料，提出了裂缝时变规律分析方法。
Finally, the forecasting results of chaotic models are reconstructed based on wavelet packet theory. By doing so, the forecasting of system feature reference data series can be made.
最后，基于小波包理论将混沌模型预测的结果予以小波包重构，实现对系统特征参数序列的预测。
The wavelet neural network model to forecast and control equipment development expense is established on the basis of theory and method of wavelet together with its transform.
通过小波及小波变换的原理和方法，建立了适用于武器装备研制费用的小波神经网络预测与控制模型。
Probed into the two factors of the signal de-noising effect basing on the wavelet transform basing on the analysis of the theory and methods of the wavelet transform: wavelet function and threshold.
在分析小波变换消噪原理和方法的基础上，研究了影响小波变换消噪效果的两个主要因素：小波基函数和阀值。
A new method is proposed to predict the stock market based on wavelet packet transformation and chaos theory, which can not only describe a time series but also capture the features of the chaos.
基于小波包变换和混沌理论提出了一种股票市场建模及其预测的新方法，既能刻划时间序列的规律，又能捕捉混沌状态的特征。
Base on wavelet denoising theory as well as the characteristic of the signal, a wavelet denoising method applied to Strapdown north seeking system was proposed.
文章基于小波变换的消噪原理，结合待测信号的特点，创造性地提出一种适用于捷联寻北仪的小波消噪法。
Following the spectral correlation theory and wavelet transform theory, a method named as wavelet spectral correlation method is proposed for BPSK signal detection and chip rate estimation.
在谱相关理论和小波变换理论的基础上，提出了小波谱相关方法实现BPS K信号检测与码元速率的提取。
The theory of wavelet packet is more complex than the analysis of wavelet, but its means of analysis is more flexible, and has more accurate partial analysis ability.
小波包理论比小波分析更为复杂，但其分析手段更为灵活，具有更为精确的局部分析能力。
Import magnitude reconstruct method to estimation wavelet base on high-order statistics after phase estimation theory, and perfecting the method of estimation wavelet though high-order statistics.
继高阶统计地震子波相位估计方法之后，将基于高阶统计的幅值重构方法也引入其中，从而完成了完整的高阶统计地震子波估计理论。
The scalar wavelets (2-channel wavelet) have been succeeded in both theory and application, of which the mathematical characters and the application performance have drawn enough attention.
无论在理论还是应用研究方面，标量小波(2 -通道小波)都已取得了很大的成功，它的数学性质和应用性能已被人们所认识。
A method of neural network prediction based on wavelet decomposition is proposed by combining the theory of wavelet analysis with the fundamental principle of neural network modeling and prediction.
将小波分析理论与神经网络建模预测基本原理相结合，提出了基于小波分解的神经网络预测方法。
Based on the theory of wavelet analysis and information entropy, the wavelet multi-scale entropy that describes the ordering degree in local data has been proposed in this paper.
文中以小波分析和信息熵理论为基础，提出了能够反映局部数据信息有序度大小的小波多尺度熵信息提取方法。
The analysis study of EMG signals under magnetic stimulation with the singular point theory of wavelet transformation is introduced which can determine the location of magnetic stimulation signal.
文章着重介绍应用小波分析中的奇异点探测理论，对磁场刺激下的诱发肌电信号进行分析，实时地提取磁场刺激的诱发肌电信号特征。
This paper introduces the theory about wavelet and the applications on image processing particularly and gives two image merging ideas and gives two different boundary reconstruction methods.
本文详细介绍了小波变换理论及其在图像处理方面的应用，分别提出了几何角度和灰度角度的两种不同的图像镶嵌算法，并提出两种不同的边界重构方式。
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.
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。
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.
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。
It can be applied in studying the property of any basic wavelet and learning the theory on the wavelet transform, and also in making some engineering signal analysis.
它即可用于对母小波的研究和对小波理论的学习，也可用于一些工程信号分析。
It can be applied in studying the property of any basic wavelet and learning the theory on the wavelet transform, and also in making some engineering signal analysis.
它即可用于对母小波的研究和对小波理论的学习，也可用于一些工程信号分析。
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