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wavelets相关的网络例句

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与 wavelets 相关的网络例句 [注:此内容来源于网络,仅供参考]

The linearized reflectivity equations are combined with the linearized rock physics equations, convolved with the specified wavelets, and equated to the seismic data.

线性化反射率方程与线性化岩石物理方程相结合,与指定的子波卷积,并等于地震数据。

Based on the conclusion, we adopt a new method to eliminate multiples, which is to use the statistic character of error, obtain inverse wavelet's estimation, correct misshaped inverse wavelets for non-orthogonality in inverse wavelet domain by the estimation. The method mainly has four steps.

在此基础上,本文提出了在逆子波域(单道自适应相减滤波的滤波算子的集合),利用其误差的概率分布特征,对逆子波进行估计,用逆子波的估计对逆子波进行校正来消除多次波的方法。

At last, we recomposed some frequency band of wavelets, and the results can efficiently extract the features of acoustic emission signal.

最后通过对能反映源特征的频带信号进行重构,这样能更好更有效的提取声发射信号的本质特征。

The purpose of this study is to present the characteristics of wavelet functions, to compare the effects of choosing different wavelets on wavelet transform, and to discuss the wave shoaling with the help of he WaveletTransform .

本文主旨在於介绍小波函数的特性并探讨不同小波函数对小波转换的影响,再以此分析工具讨论浅化波浪能量於时间-频率域上之变化特性。

With the technique of wavelets analysis and neural network intelligence, aiming at numerical calculation of temperature field in casting process of camshafts, the arithmetic of wavelet neural network is described.

利用小波分析和神经网络智能技术,针对凸轮轴铸造充型凝固过程的温度场数值求解问题,提出了小波神经网络算法。

Compared with traditional wavelets and wavelet packets, COWB and COWP have not only better frequency localization, but also waveshape variation.

并指出这种正交小波基的混合不同于2尺度正交小波基的混合,因为它可以来自于同一正交尺度函数。

Transient signals to be restored can be expressed as a linear combination of wavelets whose weight coefficients, dilations and shifts are calculated by the conjugate gradient algorithm in terms of the least mean squared energy criterion.

该方法将要复原的瞬态信号表示成一组子波函数的线性组合,在最小均方能量准则下,用共轭梯度算法求解子波函数的线性组合的幅度、尺度和延时参数。

Also, we have shown experimentally that the optimal multi-bank Haar wavelets perform better than DCT in image compression.

同时,我们用图像缩编码的方法验证了最优多进Haar小波的性能优于离散余弦变换的。

Methods based on Haar wavelets and coincidence characteristics are proposed to compress multi-streams.

提出了基于Haar小波技术和偶合特征的多数据流压缩方法。

Different local features of binary image are extracted simultaneously by using the multiplexing Haar wavelets.

利用Haar子波的复合,并行提取了二值图象的不同局域特征。

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