wavelet basis

The paper obtains the result of the high mode boundary properties of induced form under wavelet basis in weakly damped forced KdV equation.

获得弱阻尼KdV方程小波基下约化形式的高模态有界性质。

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In noise reduction methods we used a generating function called haar function as a wavelet basis function.

采用方波haar函数作为母函数，构造了一种独特的小波降噪方法。

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The Research of Feature Extraction From Electromotor Fault Signal Based on Optimal Wavelet Basis

基于最优小波基的电机故障信号特征提取研究

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Approximate Inertial Manifolds Under Spline Wavelet Basis in Weakly Damped Forced KdV Equation

弱阻尼KdV方程样条小波基下的近似惯性流形

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On the basis of wavelet analysis a three-dimensional time-frequency pattern to characterize partial discharge ( PD) impulse signal is upbuilt which comprehensively shows three basic features of PD impulse signals: time component, frequency component and distribution of discharging energy.

根据小波理论建立了表征局部放电脉冲信号的三维时频谱图，该三维谱图综合反映了局放脉冲信号的3个基本特征：时间分量、频率分量和放电能量的分布。

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With "Haar" function as wavelet basis function, an orthogonal wavelet transform is carried out for images with noises.

该方法以Haar函数为小波基，对带噪图像作正交小波变换；

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Forecasting housing mean price on the basis of wavelet analysis

基于小波分析的住宅房产均价预测

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Time-Frequency Energy Attenuation Factor and Its Application on the Basis of Gauss Linear Modulation Frequency Continuous Wavelet Transform

高斯线调频连续小波变换的时频能量衰减因子方法及其应用

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Sound Source Location Based on Directional Orthogonal Wavelet Basis Technology

基于方向正交小波基的声源定位

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The Theory and Application of Element-free Galerkin Method with Wavelet Basis

小波无单元方法及其应用

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On the basis of different signals and sampling frequency, after sample pretreatment, this text go on signal aftertreatment by method of mixed filtering which is combined by recursion average filtering and median filtering and wavelet filtering technology.

根据不同的信号以及采样频率，本文在对原始采样信号经过预处理后分别采用递推平均滤波与中值滤波相结合的混合滤波法和小波包滤波技术进行数字信号的再处理。

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Results showed that by using bior 2.4 wavelet packet to treat the original determined data and log energe entropy standard for wavelet basis and by selecting appropriate threshold value to compress the variable number from 46 to 25, best prediction result would be obtained.

研究表明，用bior2.4小波包处理原始测定数据，最佳小波基用log energe熵标准，选择适当阈值将变量数由46个压缩成25个（压缩比为0.54），整体预测效果最好。

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In course of signal reconstruction with best basis of wavelet packets, the signal has some loss.

采用最优小波包基进行信号重构的过程中, 信号有一定的损失.

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Firstly, wavelet packet transform is applied to texture-rich image for a full decomposition, and a cost function related with the sequential coding scheme is utilized for best basis selection.

该算法首先用小波包变换对纹理丰富的图像进行完全分解，并用一种与后续编码器相关联的成本函数（Cost function）进行最佳小波包基搜索；

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The wavelet basis function neural network employs local receptive fields to perform mapping and allows to grasp the spatial-frequency characteristic of an experimental data and predict the expectant outputs based on back history observed data.

子波基函数神经网络利用局部获得信息完成函数映射，从实验数据中提取时频特征，基于以前观察获得的数据来预测未来的输出结果。

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