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利用Blackman窗函数对工频信号进行加窗FFT后校正计算出基波和谐波的幅值、频率和初始相角。-Blackman window function using frequency signal windowed FFT is calculated after the correction of fundamental and harmonic amplitude, frequency and initial phase angle.
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对噪声信号中的正弦信号,通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计,信号源是: 其中, , , ; 是高斯白噪声,方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计,独立运行20次,记录各个方法的估计值,计算均值和方差; 2、增加噪声功率,观察和分析各种方法的性能。-Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition metho
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最小范数法实现谐波信号的频率估计,估计精度高-Minimum norm method to achieve the frequency estimation of harmonic signals, it is estimated that high-precision
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变频驱动主要使用的驱动波形主要有SPWM和SVPWM两种。SPWM原理简单、实现容易,是现在使用最广的一种变频驱动波形。但其有一个致命的弱点是其电源利用率不高(只有86%)、谐波成分大。因此,在新近开发的产品中其应用逐渐被性能优异的SVPWM所取代。SVPWM是一种电压利用率、低谐波成分的变频驱动波形,还有开关次数少、功率管功耗小等特点。同时,SVPWM还能很好的结合矢量控制算法、以最大限度的发挥设备的性能。因此被越来越多的变频设备所采用。-The main use of variable f
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利用IIR滤波器设计一个低通滤波器,能够分析到电力系统中的三次谐波,要求满足如下指标:截止频率150HZ,阻带衰减≥30db-IIR filter design using a low-pass filter, to analyze the power system in the third harmonic, the requirements to meet the following indicators: cut-off frequency 150HZ, stopband attenuat
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基于最小二乘法和奇异值-总体最小二乘法(SVD-TLS)的
ARMA模型谐波频率估计
-Based on the least square method and singular value- the overall least squares (SVD-TLS) of the ARMA model of harmonic frequency estimation
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基于普通最小二乘法的ARMA模型谐波频率估计
-Ordinary least squares method based on the ARMA model of harmonic frequency estimation
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信号与系统实验源代码
包括:实验一 周期信号的谐波逼近,幅频相频分析;实验二 simulink信号的抽样和内插; 实验三 GUIDE二阶状态轨迹的显示;实验四 Wav信号的波形分析及频谱分析-Signals and systems including source code of the experiment: The experiment of a periodic signal of the harmonic approximation, the amplitude-frequency
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使用labview7.1编写的一个简单的虚拟电能质量检测仪,监测参数包括电压偏差、频率偏差、频域谐波分析、电压波动、三相不平衡度等。-Labview7.1 prepared using a simple detector of virtual power quality, monitoring parameters, including voltage deviation, frequency deviation, frequency-domain harmonic analysis, volt
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在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计,polyspectral估计,时频分布计算,并包含许多实际应用如时延估计,谐波恢复,参数估计的Volterra(非线性)模型,以及自适应线性预测。其他潜在的应用包括音响,生物医学,经济学,地震勘探,无损检测,海洋学,等离子体物理,雷达,声纳,语音等-The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement
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Kalman filter, 2n_2n kalman filter which use for separate harmonic frequency in a continuous signal which include noise.-Kalman filter, 2n_2n kalman filter which use for separate harmonic frequency in a continuous signal which include noise.
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fft分析程序,可以完成对输入信号的谐波分析,得到谐波的频率和幅值-fft analysis program, to be completed on the input signal harmonic analysis, harmonic frequency and amplitude
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我学习信号系统时原创的用matlab实现的谐波提取 ,两种方案,先分频再提基波,或者利用带通滤波器-I study the signal system to achieve an original harmonic extraction using matlab, the two programs, the first frequency and then Ti Jibo, or the use of band-pass filter
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恒频恒压(CVCF)逆变电源的输出电压波形质量是衡量其性能的重要指标之一。文章采用一种重复控制和双闭环控制相结合的电压波形控制策略,以重复控制器提高逆变电源输出电压的稳态精度,减小总谐波畸变率;以双闭环控制器达到较快的动态响应速度。该方案在一台采用TMS320F240 DSP控制芯片的50 Hz三相PWM逆变器上得到验证。-Constant voltage constant frequency (CVCF) Inverter output voltage waveform quality is
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总体最小二乘方法的谐波频率估计。线性参数估计问题广泛存在于众多科学与工程学科,如信号处理、自动控制、系统理论、物理、化学工程、统计学、经济学、生物学、医学和军事工程等。最小二乘方法是最常用的线性参数估计方法。-Total least squares method of harmonic frequency estimation. Linear parameter estimation problem is widespread in many scientific and engineering
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Line Matrix is line impedance matrix.
load_power Matrix is P+jQ matrix of the loads.
source matrix is the complex value of the harmonic sources and they considered as a harmonic current source for each harmonic frequency.
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首先给出了谐波小波时频剖面图检测含噪声信号的微弱奇异成分的方法 然后运用谐波小波时频剖面图方
法分析了碰摩故障仿真信号 最后利用该方法对多个实际汽轮机组动静碰摩故障的真实振动信号进行了分析研
究。结果表明, 谐波小波能够得到其它信号分析方法无法得到的特征, 有效识别机组的碰摩故障。-Harmonic wavelet time frequency profile plot is introduced firstly in practice to identify weak
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电网谐波分析 用加汉明窗插值计算电网谐波频率 幅值 和相角。以快速傅里叶变化fft为基础-Harmonic analysis of power system using Hamming window interpolation calculation of the harmonic frequency amplitude and phase angle. The changes of FFT based on FFT
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二倍频原理,和逻辑关系,使用纯硬件最底层构造-The bottom of the second harmonic principles, and logical relations, using pure hardware structure
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对于噪声中的正弦信号,通过周期图法、AR模型法、Pisarenko谐波分解算法、MUSIC算法和ESPRIT算法进行频率估计,使用N=128个数据样本进行估计.
-By the periodogram method, AR model method, the Pisarenko harmonic decomposition algorithm, MUSIC algorithm and the ESPRIT algorithm for sinusoidal signals in noise,
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