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2下载：
谱估计
(1)修正协方差法
(2)多重信号分类（MUSIC）算法
(3)ESPRIT算法
(4)皮萨论科（Pisarenko）谐波分解法
并对各算法进行分析。
解压后即可在MATLAB上运行-spectral estimation (1) the amendment of covariance (2) multiple signal classification (MUSIC) algorithm (3) ESP RIT algorithm (4) On order pi
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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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Pisarenko谐波分解
matlab程序-Pisarenko Harmonic Decomposition
PISAR(XT,SIN_NUM) Subplots the input signal (Xt) and the signal generated by the Pisarenko Harmonic Decomposition algorithm for a sum of SIN_NUM sinusoid waves
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This file forms an estimate of the frequency spectrum using Pisarenko harmonic decomposition.
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在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR：
得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形；
(2)得出真实功率谱密度 .
(3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。-On the computer to generate a
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用Pisarenko谐波分解法估计一组实验数据的正弦频率及幅度。得出真实功率谱密度。-Pisarenko harmonic decomposition method with a set of experimental data estimate the sinusoidal frequency and amplitude. The true power spectral density obtained.
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frequency estimation using pisarenko harmonic decomposition PHD
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谱估计 (1)修正协方差法 (2)多重信号分类（MUSIC）算法 (3)ESPRIT算法 (4)皮萨论科（Pisarenko）谐波分解法 并对各算法进行分析。 解压后即可在MATLAB上运行-Spectral estimation (1) modified covariance method (2) multiple signal classification (MUSIC) algorithm (3) ESPRIT algorithm (4) pizza on the Branch (Pisa
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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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Pisarenko谐波分解算法、music算法和esprit算法对有干扰的信号频率进行估计，并进行比较-Pisarenko harmonic decomposition algorithm, music algorithms and esprit algorithm to estimate the interference signal frequency, and compare
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Pisarenko 谐波分解算法源码,可用于对信号进行频率估计。-Pisarenko harmonic decomposition algorithm source code, can be used to estimate the frequency of the signal.
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Capon Bartlet Music
MUSIC estimates the frequency content of a signal or autocorrelation matrix using an eigenspace method. This method assumes that a signal, x(n), consists of p complex exponentials in the presence of Gaussian white noise. Given a
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MUSIC estimates the frequency content of a signal or autocorrelation matrix using an eigenspace method. This method assumes that a signal, x(n), consists of p complex exponentials in the presence of Gaussian white noise. Given an M \times M autocorre
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Pisarenko谐波分解算法,在matlab R2009b调试通过，利用matlab针对图像进行马氏距离计算 。- Pisarenko harmonic decomposition algorithm, In matlab R2009b debugging through, Using matlab to calculate the Mahalanobis distance for the image.
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Pisarenko谐波分解算法,pwm整流器的建模仿真，到达过程是的泊松过程。- Pisarenko harmonic decomposition algorithm, Modeling and simulation pwm rectifier Arrival process is a Poisson process.
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非归零型差分相位调制信号建模与仿真分析 ，Pisarenko谐波分解算法,包括单边带、双边带、载波抑制及四倍频。- NRZ type differential phase modulation signal modeling and simulation analysis, Pisarenko harmonic decomposition algorithm, Including single sideband, double sideband, suppressed carrier and q
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FIR 底通和带通滤波器和IIR 底通和带通滤波器，部分实现了追踪测速迭代松弛算法，Pisarenko谐波分解算法。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Partially achieved tracking speed iterative relaxation algorithm, Pisarenko harmonic decomposition algorithm.
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DSmT证据推理的组合公式计算函数，Pisarenko谐波分解算法,在matlab R2009b调试通过。- Combination formula DSmT evidence reasoning calculation function, Pisarenko harmonic decomposition algorithm, In matlab R2009b debugging through.
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Pisarenko谐波分解算法,实现了对10个数字音的识别程序计算多重分形非趋势波动分析matlab程序。- Pisarenko harmonic decomposition algorithm, Realization of 10 digital audio recognition program Calculation multifractal detrended fluctuation analysis matlab program.
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皮萨论科（Pisarenko）谐波分解法,求得含噪声信号中的谐波频率-Pisanoko (Pisarenko) harmonic decomposition method, obtained with the noise signal in the harmonic frequency
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