• Original ECG preprocessing:remove noise such as high-frequency power supply and interference factors such as baseline drift by wavelet function and filter;

    原始心电信号预处理利用小波降噪函数滤波器去除电源干扰高频噪声基线漂移及抖动干扰因素

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  • Basing on the construction of wavelet, discuss the close relation between the scaling function and wavelet function's two scale symbol and wavelet construction.

    立足于小波构造比较深入地探讨尺度函数函数尺度符号小波构造紧密关系

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  • Wavelet neural networks can be regard as not only the function-linked networks based wavelet function, but also the extension of Radical basis function (RBF) networks.

    神经网络可以看作是以小波函数基底一种函数连接型网络,可以认为是径向函数(RBF)网络的推广

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  • The wavelet function is such a function which possesses good localization characteristics, so theoretically it can be applied to the detection of non-integer harmonics.

    函数具有时域和频域良好局部化特性的函数,理论上可以用于整次谐波检测

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  • Through construct tight branch collection of orthogonal wavelet base, we find that tight branch collection of orthogonal base wavelet function resembles real seismic wave.

    构造正交发现:紧支集正交小波基函数地震波极为相似,比较适合地震资料处理。

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  • Especially, we give a calculation method for higher order singular integral by equation (3.1) when the wavelet function is unknown. At last, we create a convergence theorem.

    特别是函数未知时,借助于方程(3.1),奇异积分数值计算,建立收敛性定理。

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  • Adaptive wavelet neural network intelligent detection is a method in which the wavelet function substitutes for the activation function of hidden layer in the neural network.

    自适应神经网络检测法就是利用小波函数取代通常神经网络作用函数来实现的。

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  • It proves that the improved lifting coefficient can add to the vanishing moment of the wavelet function in a constructed way, and the adding means to a more centralized energy property.

    文章构造证明改进提升系数增加小波函数消失消失矩的增加意味着能获得更好的能量集中特性。

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  • Next, by the orthogonal multiresolution analysis, the necessary conditions of a kind of M-band band-limited orthogonal wavelet function constructed by the scaling function are proposed.

    然后利用正交多分辨率分析给出尺度函数构造一类频带有限的M进制正交小波函数的必要条件

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  • Waveform matching is included in the matching between the signal and wavelet function. Compared with the energy matching, it has its own characters and is used in some specific domains.

    波形匹配信号小波函数匹配一种,能量匹配各特点适用范围各不相同

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  • Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory.

    叙述了小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。

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  • A quadratic lubricity wavelet as wavelet function was defined to do the two dimensional dyadic wavelet transform on fruit infrared image, and to get local modulus maxima from the results.

    二次光滑作为小波函数水果红外图像进行进小波变换,计算了小波变换结果的局部极大值点,从而得到了水果红外图像的轮廓。

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  • By comparison with other wavelet functions, trapezoid complex wavelet function has even frequency characteristic, and so trapezoid complex wavelet transform easily catch frequency deviation.

    梯形函数具有平坦频率特性因而梯形小波变换较容易捕捉到信号的频率偏移

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  • 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.

    详细地探讨函数、小波分解选取遥感图像融合结果的影响,为小波基函数分解层数的选择提供了依据

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  • 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.

    分析变换原理方法基础,研究了影响小波变换消噪效果两个主要因素:小波基函数和阀值。

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  • Wavelet transform involves the two-variate function of frequency and time, which makes it convenient to simultaneously compensate for attenuation of seismic energy in frequency and time domains.

    小波变换作为频率时间二元函数使之可以方便频率和时间域中同时进行地震波能量吸收衰减补偿

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  • On the basis of evaluation function of using image intensity variance, we proposed a new auto-focusing algorithm by means of Wavelet Transform Multi-Resolution Analysis(WTMRA) theory.

    传统图像灰度方差评价函数基础上利用多分辨率分析提出一种新的自动聚焦算法

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  • Because the wavelet has time-frequency local property, the wavelet method can analyze the local regularity of function more effectively than frequency domain.

    由于具有局部性,因此频域方法相比,小波方法有效地分析函数局部正则性。

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  • Studies the function of wavelet transform (WT) that can effectively distill the transient characteristics of digital signals to estimate the symbol rate of PSK signals.

    研究基于小波变换有效提取信号瞬变特性功能数字调制移相键控(PSK)信号进行符号速率估计

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  • The new arithmetic constructed the best wavelet packet based on the wavelet library with the criterion of fusing energy cost function and contract the most valuable features of the signals.

    算法以融合能量代价函数标准整个小中构造优小波包基,从小波包基上提取信号最有价值特征值。

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  • The modulate Gauss function is selected as the analysis wavelet to deal with the fault signal saltation caused by the damage concussion, according to the (characteristics) of fault vibration signals.

    根据走行部故障振动信号特点选用调制高斯函数作为分析小波处理损伤冲击造成信号突变

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  • Aimed at the ultrasonic signal polluted by noises, which is low in SNR, a method of the ultrasonic signal denoising in wavelet domain based on an improved threshold function was put forward.

    针对超声无损检测中超声信号噪声污染、信不高情况,提出了一种新的基于改进阈值函数小波超声信号去方法

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  • According to the peculiarity that the scale exhibit progressional variety, this paper deduces a group of multiscale wavelet filter from two dimensions smooth function.

    论文基于这思想,平滑函数出发,并根据尺度级数变化特点导出了一尺度小波滤波器

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  • Based on zero crossing representation of wavelet transform of this radial function and matching procedure, a new algorithm to identify orbits of shaft centerline is proposed.

    基于函数小波变换交叉表示匹配过程,得到了识别轴心轨迹一种方法

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  • Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.

    依据非线性逼近能力神经网络学习特性,提出了种基于小波神经网络模型的自校正控制算法。

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  • 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.

    这种模糊神经网络利用了小波函数作为隶属函数,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学习适应能力。

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  • 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.

    这种模糊神经网络利用了小波函数作为隶属函数,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学习适应能力。

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