fourier spectrum meaning in Chinese
傅里叶频谱
傅里叶谱
傅里叶叶谱
傅立叶谱
付立叶谱
Examples
- Simulation of wind field based on stochastic fourier spectrum
谱的风场仿真 - Some characters and fourier spectrum characters of the almost perfect autocorrelation sequence pairs are discussed , and the necessary conditions of existences of the almost perfect auto - correlation sequence pairs are given
其次，提出了几乎最佳自相关序列偶的理论，它是几乎最佳自相关序列的深入和发展，探讨了它的性质，谱特性，存在的必要条件。 - 2 ) fourier amplitude spectrum analysis : ( 1 ) the fourier amplitude spectra decrease with the increment of depth ; and the components of fourier spectrum become complex in near - surface . ( 2 ) the fourier amplitude decrease faster in shallow soil level , and smaller in deep soil level . ( 3 ) compared with the deepest bedrock fourier spectrum , spectral components of higher than 5 hz decrease with depth decrease
2 .地震动傅立叶振幅谱沿深度的变化规律( d随着深度的增大，傅氏谱振幅逐渐减小;越接近地表傅氏谱的频谱成份越多，形状越复杂;傅氏谱振幅值在浅层沿深度的下降梯度较大，在深层下降较小; “土层/基岩”场地的基岩内_匕下两测点的地震动频谱沿深度几乎不变，傅氏谱十分相似; d基岩以上的土层测点，高于shz的高频成分减少。 - Lastly , aiming at the poor results which all current algorithms do for directional textures , and cannot synthesis texture directly , aiming at the particularity of this kind of textures , we bring forward the conceptions of non frontal parallel textures and frontal parallel textures . by analyzing texture ' s direction through fourier spectrum , we introduce the conception of main direction , and solve the approximation value of texture ' s main direction by discrete approximated approach . by this way , we can synthesis indirectly simple structural non frontal parallel textures
最后针对现有算法对带有方向的纹理合成效果差，无法直接合成纹理图像的难点，本论文首先提出了非正平行纹理与正平行纹理的概念，分析了它们之间的内在联系，引入了两个角度参数来描述纹理的朝向，采用傅立叶频谱法分析纹理的方向特性，并提出了纹理主方向的概念，本论文引入离散逼近的方法来求解出纹理主方向的近似值，这样我们就能用一种间接的方法合成简单的结构性非正平行纹理。 - After the comparison of the merits and faults between fourier spectrum analysis method and wavelet - neural network analysis method , the latter is selected . after the research on the principle of accuracy - loss diagnosis of the dynamic measurement , the diagnosis theory and method are advanced . according to the error model established of the dynamic system and the results of the error tracing , using bp neural network , the accuracy - loss law of each inner unit is acknowledged
对于实际进行误差分解与溯源的信号处理方法，在比较了谱分析方法与小波神经网络分析方法的优缺点之后，指出谱分析方法的分解结果不够理想，并最终确定用小波神经网络来进行实际测量系统的误差分解与溯源。