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spectral相关的网络例句

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与 spectral 相关的网络例句 [注:此内容来源于网络,仅供参考]

It is concluded by the comparison of the Power Spectrum Density Function estimated from design spectra that the spectral energies do not distribute uniformly within the frequency of engineering interest in Chinese codes. The remarkable spectral energies concentrate in the range of low and high frequency.

由各规范设计谱估计的功率谱密度函数的比较说明,我国某些抗震设计规范设计谱给出的设计地震动在工程感兴趣的频率范围内可能存在能量分布不均的问题,低频分量和高频分量与中等频率段相比相对显著。

Besides, in the new spectral dynamical framework the calculation amount firstly is decreased to half by properly using the complex conjugate relation of spectral coefficients and the symmetric and anti-symmetric character of spherical function.

另外,新方案中的纬向谱系数计算式,合理利用谱系数的复共轭性质及球函数关于赤道对称或反对称特性,使计算量减半。

Ii The parallel computing of spectral element methods by element-by-element strategy is analyzed deeply, and we design a high-performance spectral element parallel software package named PSES.

ii将有限元方法中的逐元素策略应用于谱元素方法的并行计算,在PC机群上设计实现了并行应用软件PSES。

Using spectral correlation of cycle stationary signal, this paper studies a method of time difference of arrival estimation, called spectral correlation ratio.

利用周期平稳信号的谱相关特性,研究了一种进行时差估计的方法,称之为谱相关比值法。

The spectral data were analyzed by weighted correlation. Pearson's R and Δ R (defined as the absolute value of the difference between Pearson's R and its mirror image in the correlation table) were calculated and used for assessing the spectral similarity between the drugs.

利用加权相关分析对以上光谱数据进行分析,得到各产品之间的Pearson′s R和ΔR(Pearson′s R 与其镜像位置值的绝对差值),并以此进行各产品的光谱相似性比较。

Stationary process: spectral decomposition of covariance function, spectral decomposition of stationary process, linear time invariant system, ergodic theorem, sampling theorem.

平稳过程:协方差函数的谱分解,平稳过程的谱分解,线性时不变系统,遍历定理,采样定理。

School of Electronic and Information Engineering,Dalian University of Technology,Dalian,Liaoning 116024,ChinaStable processes can better model the impulsive random signals and noises in physical observation.This paper briefly describes its spectral representation,proposes a new different spectral density from power spectrum density of second order processes,thus can get a new concept of stable white noise based on covariation spectrum,and a method of identification of nonlinear PAR system based on least p-norm.

描述了稳定分布的谱表示,提出了共变谱密度的概念,得到一种基于自共变序列与共变谱的稳定分布白噪声与有色噪声的概念及其判断标准,对传统意义上的白噪声进行了广义化,依据多项式自回归系统模型,对基于稳定白噪声输入的系统输出非线性稳定有色噪声建立其非线性PAR模型,提出基于最小P范数的EIRLP算法对非线性PAR系统进行辨识。

A method of cross power spectral density between responses is derived and a poly reference modal analysis method using cross power spectral density method in frequency domain is presented in this paper.

对各测点响应的互功率谱密度函数进行了详细推导,提出了一种基于互功率谱密度的频域多参点辨识法,这意味着许多原本利用频响函数的传统频域识别法可以很容易地用于工作状态下的模态识别,大大开阔了未知激励下模态识别的视野。

The Cholesky decomposition of cross spectral density matrix was approximated and reduced, and then the modified spectral representation method is efficient and requires less computer memory, which is suitable for simulating spatial wind fields of long span bridges.

针对现有Deodatis方法模拟大跨度桥梁空间脉动风场中存在的计算量问题,通过对谱分解矩阵引入插值近似,减少谱分解的次数,从而提高该谐波合成法的计算效率,并节省内存花费,实现了对三维空间脉动风场的有效模拟。

A method of time delay estimation by two times spectral analysis, where the time delay is the time interval between peaks of spectrum of the cross power spectral density, is proposed in the paper. It can be used to estimate time delay of not only single target but also multi-target without unwrap.

本文提出了两次谱分析时延估计方法,即将互功率谱函数再次进行谱估计,二次谱峰值位置间距即为时延估计,这种方法既能够估计单目标时延,又能够估计多目标时延,并且不用相位解绕。

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