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Pisarenko谐波分解算法,详细画出了时域和频域的相关图，主同步信号PSS在时域上的相关仿真。- Pisarenko harmonic decomposition algorithm, Correlation diagram shown in detail the time domain and frequency domain, PSS primary synchronization signal in the time domain simulation related.
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基于kaiser窗的双谱线插值FFT谐波分析，用于时频分析算法，AHP层次分析法计算判断矩阵的最大特征值。- Dual-line interpolation FFT harmonic analysis kaiser windows, For time-frequency analysis algorithm, Calculate the maximum eigenvalue judgment matrix of AHP.
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FMCW调频连续波雷达的测距测角，AHP层次分析法计算判断矩阵的最大特征值,Pisarenko谐波分解算法。- FMCW frequency modulated continuous wave radar range and angular measurements, Calculate the maximum eigenvalue judgment matrix of AHP, Pisarenko harmonic decomposition algorithm.
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Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Pisarenko harmonic decompos
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用music方法估计仿真谐波信号的频率成分(Music method is used to estimate the frequency components of the simulated harmonic signals)
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The main technical features of the discussed PIC16F72 sinewave inverter may be evaluated from the following data:
Power output (625/800va) fully customization and can be upgraded to other desired levels.
Battery 12V/200AH
Inverter Output Volt :
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Dual-line interpolation FFT harmonic analysis kaiser windows, Iterative self-organizing data analysis, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
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You can get a very accurate amplitude, frequency, phase estimation, Wavelet packet analysis to extract vibration signal characteristic frequency, Dual-line interpolation FFT harmonic analysis kaiser windows.
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Dual-line interpolation FFT harmonic analysis kaiser windows, This is a useful frequency estimation algorithm matlab simulation program, Including principal component analysis, factor analysis, Bayesian analysis.
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K-means clustering algorithm based on the PSO, When processing a signal frequency analysis, Dual-line interpolation FFT harmonic analysis kaiser windows.
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Pisarenko harmonic decomposition algorithm, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Including single sideband, double sideband, suppressed carrier and quadruple.
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This is a useful frequency estimation algorithm matlab simulation program, Pisarenko harmonic decomposition algorithm, The performance of the program has reached a high level.
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Algorithm for researchers to do reference, For time-frequency analysis algorithm, Dual-line interpolation FFT harmonic analysis kaiser windows.
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本文提出了一种新的多谐frequencyadaptive并网电源的同步方法转换器，不仅可以估计基波功率信号的正负序分量频率，对其他谐波频率序列部分的估计也很受用(this paper presents a new multiresonant frequencyadaptive synchronization method for grid-connected power converters that allows estimating not only the positive- and ne
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The power_controlvolt example uses Controlled Voltage Source blocks to generate a 60-Hz sinusoidal voltage containing a third harmonic. One Controlled Voltage Source block is initialized as a 120-V AC voltage source with an initial frequency of 60 Hz
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利用matlab编程对电能质量进行分析，包括电压有效值，频率，功率因数和谐波畸变率(The power quality is analyzed by MATLAB programming, including voltage effective value, frequency, power factor and harmonic distortion rate.)
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该vi 可对输入波形进行谐波成分分析 ，获取2-20次谐波成分，可测量直流分量、基波幅值、基波频率等参数，并具有THD越线警告功能(The VI can analyze the harmonic component of the input waveform, obtain 2-20 harmonic components, measure the parameters of the DC component, the amplitude of the fundamental wave, the
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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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这是一个好用的频偏估计算法的matlab仿真程序,基于kaiser窗的双谱线插值FFT谐波分析，计算目标和海洋回波的功率谱密度。( This is a useful frequency estimation algorithm matlab simulation program, Dual-line interpolation FFT harmonic analysis kaiser windows, Calculating a target and ocean echo power spect
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首先读取csv文件（来自示波器或其他来源），csv是字符格式的文本文件。然后，对采样波形进行谐波分析，将输入信号分解成：A0直流分量，A1基频分量，A22次谐波，A33次谐波……N噪声。采用的是加hanning窗的FFT算法。最后，求取 总谐波失真率THD（%）(First read the CSV file, and CSV is a character format text file. Then, the input signal is decomposed into A0 DC comp
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