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wavelet相关的网络例句

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与 wavelet 相关的网络例句 [注:此内容来源于网络,仅供参考]

Based on dual scaling function and dual wavelet, the algorithm of constructing a compactly supported biorthogonal wavelet is proposed, at the same time, rigorous process of proofness and deduction is show.

应用该算法,结合函数优化方法,构造出一系列包括样条小波、接近正交的双正交小波及其它具有特殊性质的双正交小波。

Based on analyzing wavelet analysis and digital elevation model, the paper presents the truth that multi-resolution wavelet can be used to simplify DEM data and to create the pyramidical image model.

首先分析了小波分析的特点和数字高程模型的特性,说明多进制率小波变换可以在DEM数据简化和影像金字塔模型构建中发挥重要作用。

Then it gives two examples for numerical modeling with the Ricker wavelet. Finally, we write out the detailed proving process of the Ricker wavelet formula from time domain to frequency domain.

然后列出2个数值模拟算例并且在最后给出了Ricker子波表达式由时间域变换为频率域的详细推导过程。

In order to select optimal grid and good computation efficiency to recover the entire signal, aiming at the Ricker wavelet commonly used in forward modeling, we analyzed the alias and signal restoration problem in finite-difference method based on spatial sampling theorem and seismic wave traveling regulation in media with different velocity, to derive quantitative relationship among the modeling grid size, minimum velocity of model layer, and recovered main frequency of wavelet.

为了选择最佳的网格尺寸以及以最小的计算量完整地恢复出信号,针对地震波场正演模拟中经常使用的Ricker子波,根据空间采样定理和地震波在不同速度介质中的传播规律,分析了有限差分算法中的假频和信号恢复问题,推导出模拟网格尺寸、模型地层的最小速度和能够恢复的子波主频之间的近似定量关系,并用数值算例验证了这一关系。

This paper introduces eight methods of tlme-frequency analysis, such as Hilbert transform, Hilbert-Huang transform, sine curve fitting, Ricker wavelet matching, short time Fourier transform, wavelet transform, S transform and Cohen methods, This paper explains the merits and defects of those methods from the time resolution, frequency resolution and the adaptive ability of multi-frequency signals.

本文介绍了Hilbert变换、Hilbert—Huang变换、正弦曲线拟合、雷克子波匹配、短时傅立叶变换、小波变换、S变换以及Cohen娄这八种方法,并从时间分辨率、频率分辨率,以及对多频率成份信号适应能力等各方面阐述了各种方法的优缺点,对其中的一些方法结合了理论记录进行了试算,进一步阐述了这些方法的长处和不足之处。

This paper introduces eight methods of time-frequency analysis,such as Hilbert transform,Hilbert-Huang transform, sine curve fitting ,Ricker wavelet matching,short time Fourier transform,wavelet .

本文介绍了Hilbert变换、Hilbert-Huang变换、正弦曲线拟合、雷克子波匹配、短时傅立叶变换、小波变换、S变换以及Cohen类这八种方法,并从时间分辨率、频率分辨率,以及对多频率成份信号适应能力等各方面阐述了各种方法的优缺点,对其中的一些方法结合了理论记录进行了试算,进一步阐述了这些方法的长处和不足之处。

This paper introduces a new compression technique: Subband Coding and Wavelet Transforms, and discusses the fast algorithm of Wavelet Transforms.

介绍了新的压缩技术子带编码和小波变换,并讨论了计算小波变换的快速算法。

And when the update amount of data is not too much, the direct update of wavelet is almost as good as the optimal selected wavelet synopses.

并且,当数据的更新不是很大时,对小波系数进行update算法的性能几乎和最优小波系数法相当。

An Integer Wavelet Transform with parameters is firstly constructed and the transmutative Rijndael code is used to construct a Hash function, and then a visible digital watermark algorithm based on the Integer Wavelet Translation with parameters, Discrete Cosine Transform and the Transmutative Rijndael encryption algorithm are presented.

构造出了带参数的整数小波,应用变型的Rijndael密码构造出了Hash函数。提出了一种基于带参数整数小波变换、离散余弦变换及变型Rijndael加密算法的可见数字水印算法。

A number of facts have approved that wavelet mainly adapts to the isotropic singularity object.but to the anisotropic singularity,such as the verge of image and the wirelike character, wavelet is not the best tool.

大量事实证明,小波主要适用于表示具有各向同性奇异性的对象,对于各向异性的奇异性,如数字图像中的边界以及线状特征等,小波并不是一个很好的表示工具。

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