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应用傅里叶变换DFT,分析各种离散信号x(k)的频谱。离散周期信号可以展开成傅里叶级数,所以离散周期信号的频谱 是一个周期的周期性离散频谱,各谱线之间的间隔为 ,而且存在着谐波的关系。 -DFT application of the Fourier transform, analyze discrete signal x (k) of the spectrum. Discrete signal cycle can begin as Fourier series, the discrete sig
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创建25个谐波的傅立叶级数,计算三角形式的傅立叶级数并将计算结果和转换结果相比较,最后绘制频谱。-The creation of 25 harmonic Fourier series, calculation of the triangular form of Fourier series and the results of calculations and conversions, compared to the final rendering spectrum.
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如果是复指数形式的傅里叶级数,因为复指数函数的功率等于其系数的模的平方,直接把傅里叶系数平方求和就行;如果是三角形式的傅里叶级数,因为三角函数的功率等于其系数的模的平方的一半,需要把各次谐波傅里叶系数平方求和的一半 与直流分量的平方相加。-If the complex exponential form of Fourier series, complex exponential function because the power is equal to the square of the mo
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周期函数的傅立叶级数与信号重构基波与谐波-Periodic function of the Fourier series and the fundamental and harmonic signal reconstruction
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将方波周期信号展开成傅里叶级数并生成3次,5次,8次,10次谐波-Expand the square wave into a Fourier series of periodic signal and generates 3 times, 5 times, 8 times, 10 times harmonic
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实现了3阶和4阶的球谐傅里叶级数的表达。-To achieve a 3-order and fourth-order spherical harmonic Fourier series expression.
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harmonic signal. source made with the help of mathcad. Decomposition of periodic signals in a Fourier series. Сonstruction of the signal spectrum.
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通过msp430从一系列的合成波形中取出二次谐波,程序采用傅里叶变换-Through the msp430 from a series of synthetic waveform out of the second harmonic, and the program using Fourier transform
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用matlab编程对电压信号用离散化傅里叶级数变成求各次谐波含量-Matlab programming voltage signal with a discrete Fourier series becomes the harmonic content of each request
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1、利用Matlab求观察图示周期三角脉冲的傅里叶级数与原波形的关系。要求分别画出最高谐波次数n=1,3,5,7时合成波形与原波形的对照图。(The relationship between the Fourier series of the graphic periodic triangular pulse and the original waveform is observed by Matlab. The comparison of the synthetic and original
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NDVI时间序列谐波分析法(Harmonic Analysis of NDVI Time-Series)(简称Hants )对时间序列数据进行平滑。该方法是一种新的物候分析方法,可用于定量化的监测植被动态变化。其核心算法是傅里叶变换和最小二乘法拟合, 即把时间波谱数据分解成许多不同频率的正弦曲线和余弦曲线,从中选取若干个能够反映时间序列特征的曲线进行叠加,以达到时间序列数据的重建目的。(The NDVI Time Series Harmonic Analysis of NDVI Time Ser
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