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.
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。
Through construct tight branch collection of orthogonal wavelet base, we find that tight branch collection of orthogonal base wavelet function resembles real seismic wave.
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。
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。
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。
Wavelet is the best base of functions, with point singularity, and it has wide application in image processing because of its time-frequency localization and multiscale features.
小波是表示具有点奇异性函数的最优基，它由于具有时-频局部化特点和多尺度特性，在图像处理领域得到了广泛应用。
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。
The extract of seismic wavelet is the base of wave impedance inversion and forward modeling.
地震子波的提取是波阻抗反演及正演模拟的基础。
In recently years, wavelet analysis has more and more wide application in network traffic model, and it offers the strong base for using network source efficiently.
近年来，小波分析理论在网络业务模型中的应用越来越广泛，它为更有效的利用网络资源提供了坚实的理论基础。
Base on the basic model of orthogonal wavelet transforms, principle of remote sensing image fusion is discussed by using orthogonal wavelet decomposition and reconstruction in this paper.
在给出小波变换基本模型的基础上，探讨了采用小波正交分解与重构来进行遥感信息融合的基本原理。
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。
Firstly, using the first order derivative of Gaussian function as the base wavelet, the direction Angle function of a planar curve was analyzed on multiple scales to obtain the candidates of corners.
使用高斯函数的一阶导数作为基本小波，对曲线的方向角函数进行多尺度小波分析得到候选点集，提出了四个筛选规则对候选点集进行逐步筛选得到正确角点集。
Base on that, the application of wavelet transformation in fault diagnosis to analyse nonstationarity of roller bearing vibration signals with Daubieches wavelet is introduced.
针对轴承振动的非平稳性特点和频谱成分的混杂性，提出了基于小波的信号自适应阈值降噪法。
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.
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。
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。
On the base of a great deal of reference literatures, intelligent PID control algorithm of ship roll motion based on dyadic wavelet neural network has been proposed.
在研究大量参考文献的基础上，本文提出了船舶横摇运动基于二进小波神经网络整定的智能PID控制算法。
Filtering algorithms base on space, frequency, wavelet and time have been introduced to reduce noises caused by environmental and lighting conditions in the video image sequences.
针对视频图像存在由于环境、光照等原因所引起的噪声的特点，应用基于空间域、频域、小波域和时域等多种去噪方法。
The paper investigates applications of neural network and wavelet transform in power system, which provides necessary and reliable base of applications of fault location in distribution system.
本文对神经网络和小波分析在电力系统中的应用进行了研究。为其在配电故障测距中的应用提供了必要的和可靠的研究基础。
The author presents a new method base on wavelet transform in the locating of license plates. The license plate image can be detected and located using wavelet transform.
对于车牌定位，作者提出了一个基于小波变换的定位方法，采用小波变换对车牌图像进行边缘检测和定位。
The author presents a new method base on wavelet transform in the locating of license plates. The license plate image can be detected and located using wavelet transform.
对于车牌定位，作者提出了一个基于小波变换的定位方法，采用小波变换对车牌图像进行边缘检测和定位。
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