分析了图像小波变换后小波系数的特征，讨论了优化小波系数的小波基选择问题。
Have analyzed properties of wavelet coefficients obtained from an image through wavelet transform, and discussed how to select wavelet basis to optimize wavelet coefficients.
利用双正交小波基将齿轮的故障振动信号分解到时频域，并提取出齿轮的故障特征。
This paper mainly introduces that the fault vibrating signal of gears was decomposed into time-frequency domains by double-orthogonal wavelet analysis and the fault feature of gears was picked up.
小波由一族小波基函数构成，它可以描述信号时间(空间)和频率(尺度)域的局部特性。
By the family of wavelet basis function of wavelet Composition, it can describe the signal time (space) and frequency (scale) domain of the local characteristics.
提出了一种用于故障信号奇异性检测的小波基选择方法一按照小波规则性系数选择小波基。
A method of choosing a wavelet for the detection of singularities of a fault signal is presented. The method is to choose a wavelet by the regularities of the wavelet and the signal.
通过在声纳图像识别中的实际应用，对图像处理中几种典型的小波基的选择进行了比较分析。
With the practical application of sonar image recognition, comparison and analysis have been done in the selection of several typical wavelet bases which are often used in the image processing.
构造紧支集小波正交基时发现：紧支集正交小波基函数与地震波极为相似，比较适合地震资料处理。
Through construct tight branch collection of orthogonal wavelet base, we find that tight branch collection of orthogonal base wavelet function resembles real seismic wave.
小波分析在高压电器放电检测中有很大的优越性，最优小波基的选择是小波分析的应用中的重要问题。
Wavelet analysis is very preponderant in acoustic emission detection of discharge in high voltage equipment. In its application, selection of best basis is important.
该变换引入了各向异性分解方式，由此得到的小波基在各个方向上尺度可以不同，并具有更好的方向性。
By introducing anisotropic decomposition into the transform, the associated wavelet bases may have different sizes in different dimensions, and better directivity.
但目前小波分析处理超声检测信号的应用领域还很有限，并且应用过程中没有考虑最优小波基的选取问题。
But now the field is finite that wavelet analyses is used in the ultrasonic testing signal processing, and the problem of selecting the best wavelet didn't be considered in the application of wavelet.
首先用信息熵函数最小选择最优小波基，然后用其对燃气负荷进行二层分解得到负荷的低频信号和高频信号。
Firstly, the best wavelet basis selection was conducted via message entropy function; then the gas load was decomposed to low frequency signal and high frequency signal by two times through it.
在分析小波变换物理本质和奇异性检测原理的基础上，研究了小波基和白噪声对信号奇异性检测性能的影响。
Based on analyzing the physical essence and the principle of singularity detection, this paper discusses the effect of wavelet bases and white noise on signal singularity detection.
针对高精度陀螺稳定跟踪系统，提出了一种基于小波基函数神经网络的非线性系统的一步超前预测控制算法。
In this paper, a one-step ahead predictive control algorithm based on wavelet neural networks is proposed for the gyro stability tracking system with high accuracy.
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。
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.
叙述了小波基函数、连续小波变换、离散小波变换、二进小波变换、二维小波变换、多分辨分析小波变换理论。
Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory.
然后用相同的小波基对给定的环境光做小波变换，只保留其中绝对值较大的系数，从而得到环境光的非线性逼近。
Then, it approximates the environment map in the same wavelet basis by keeping only the largest terms to get a non-linear approximation of the environment-map.
本文基于Matlab数学分析工具环境下从实验角度出发，探讨了小波变换在图像压缩中的应用和小波基的选取。
From the Angle of the engineering and experimentation in the MATLAB, the paper have discussed the application of image compression based on the wavelet transformation.
最后，通过采用几种攻击方法、不同的小波分解层数、水印嵌入强度、不同小波基函数的选取来检测其对水印的影响。
Finally, the influence of different attacks, the various resolution levels, the intensity of watermarking and the different wavelet functions on digital image watermarking are researched.
针对小波变换在故障检测与测距中应用的实际问题如小波基函数、小波变换初始数据、行波波速的选取等进行了研究。
The practical problems in the fault detection and fault location using the wavelet transform, such as the wavelet basis function, the initial data, the velocity of traveling wave are studied.
在学习过程中通过同时调整小波基函数的平移因子和隶属度函数的形状，使得模糊小波网络的精度和泛化能力大大提高。
By adjusting the translation parameters of the wavelets and the shape of membership functions, the accuracy and generalization capability of FWN can be remarkably improved.
文中对奇异性指数的求解问题进行了较详细的讨论和研究，同时对不同小波基下的信号奇异性检测情况进行了分析和比较。
The thesis has discussed the calculating of the Lipschitz exponent, and analysised and compared the condition between wavelet bases and singularity detection of signal.
由于作为密钥的小波基任意多，且可根据信道情况在不同的小波基之间跳变，故分形调制具有极强的保密性和抗破译能力。
Since wavelet bases as cipher keys are infinite and could be hopped to chose based on different channels, fractal modulations security and the ability of anti-dawning are emphatically expound.
详细地探讨了小波基函数、小波分解层数的选取对遥感图像融合结果的影响，为小波基函数和分解层数的选择提供了依据。
This paper discuss the effects of the wavelet function and the decomposed level on remote fused image deeply. The research provides basis for choosing wavelet function and the decomposed level.
基于小波变换对信号去噪进行了深入地分析和研究，结合去噪原理讨论和比较了实际应用中对小波基及阈值规则的合理选取问题。
Combining with the denoising principle, the rational selection issue concerning more suitable wavelet base and the best threshold rule in actual application is discussed and compared.
基于二进正交小波构造原理，构造了正交小波基参数表达方程及降噪效果的自适应目标函数，应用遗传优化方法求出最佳小波基。
Based on the constructive theory of orthogonal binary wavelet transform, a parameter expression equation of binary wavelet and adaptive goal function put forward.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
给出了基于小波的图像压缩编码的基本原理与主要几种小波图像压缩算法，讨论了图像编码中小波基选取、边界处理以及分解级数等几个问题。
The followings are studied in this thesis: principle of wavelet based image coding methods, key problems of wavelet transform in image codec and some main coding algorithms based on wavelet.
试验结果表明，在选择了适当的小波基函数和阈值的情况下，采用小波变换的消噪方法对舰船辐射噪声信号进行消噪处理，可以取得良好的效果。
The results prove that we can get a very effective outcome by the method of wavelet transformation if the adaptive wavelet base and threshold value are chosen.
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.
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.
应用推荐