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Description: 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 pizza's from Branch (Pisarenko) harmonic decomposition of each algorithm for analysis. Unpacked can run in MATLAB
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Size: 6584 |
Author: 孙云 |
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Description: 功率谱估计程序，选用一电力系统谐波信号为输入。其中包括有：burge算法，esprit算法，music算法，mvdr算法，pisarenko算法，prony算法，修正协方差算法，自相关算法。这些程序均为本人自编，并且对程序所参考书籍和页数进行了标注。经过调试，绝对正确，请放心使用。
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Size: 4638 |
Author: 李明 |
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Description: 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 pizza's from Branch (Pisarenko) harmonic decomposition of each algorithm for analysis. Unpacked can run in MATLAB
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Size: 6144 |
Author: 孙云 |
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Description: 功率谱估计程序，选用一电力系统谐波信号为输入。其中包括有：burge算法，esprit算法，music算法，mvdr算法，pisarenko算法，prony算法，修正协方差算法，自相关算法。这些程序均为本人自编，并且对程序所参考书籍和页数进行了标注。经过调试，绝对正确，请放心使用。-Power spectrum estimation procedure, selection of one power system harmonics signal as input. Including: burge algorithm, esprit algorithm, music algorithm, mvdr algorithm, pisarenko algorithm, prony algorithm, as amended covariance algorithm, since the correlation algorithm. I own both of these procedures, and procedures of reference books and the number of pages have been marked. After debugging, absolutely correct, please rest assured that use.
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Size: 4096 |
Author: 李明 |
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Description: Matlab files for programs in Monson Hayes book. Functions such as Levinson durbin,Pisarenko, MUSIC, LMS, RLS etc.
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Size: 24576 |
Author: sam |
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Description: 这软件是用pisarenko方法、music方法、esprit方法来估计频率。-This software is used pisarenko way, music methods, esprit method to estimate the frequency.
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Size: 1024 |
Author: 李署哲 |
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Description: 频率估计：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，并且计算估计频率的均值和方差。-Pisarenko、music和esprit
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Size: 2048 |
Author: allan |
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Description: 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 method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.
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Size: 2048 |
Author: gab |
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Description: 计算功率谱的一些程序，包括ESPRIT算法，MUSIC算法和PISARENKO算法-Some of the power spectrum calculation programs, including ESPRIT algorithm, MUSIC algorithm and PISARENKO algorithm
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Size: 3072 |
Author: qc |
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Description: 特征值分解的例子，music算法，pisarenko算法等-Eigenvalue decomposition of the example, music algorithm, pisarenko algorithm
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Size: 5120 |
Author: 乘警 |
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Description: 分别用Pisarenko谐波估计法、MUSIC算法和ESPRIT算法对三正弦叠加高斯白噪声信号源进行频率估计，附件中有代码说明，编译环境为matlab。-Respectively Pisarenko harmonic estimation, MUSIC algorithm and the ESPRIT algorithm superimposed on the three sine Gaussian white noise signal source for frequency estimation, in the annex to the code description, the compiler environment matlab.
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Size: 8192 |
Author: Bing |
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Description: 功率谱估计的各种方法的matlab代码
包括AR模型，ESPRIT,周期图谱，MUSIC，PISARENKO等方法-Power spectrum estimation method matlab code, including the method of AR model, ESPRIT, the cycle map, the MUSIC, PISARENKO etc.
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Size: 3072 |
Author: wangqi |
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Description: 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 (Pisarenko) harmonic decomposition method and algorithm analysis. After decompression can be run in MATLAB
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Size: 6144 |
Author: wujiangmao |
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Description: 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, frequency estimation, N = 128 data samples to estimate.
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Size: 3072 |
Author: 沈年凤 |
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Description: 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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Size: 2048 |
Author: 严明 |
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Description: Comparison of estimates: Pisarenko method, ESPRIT, MUSIC, AR
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Size: 1024 |
Author: neptus |
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Description: 特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。-Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.
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Size: 5120 |
Author: 韩晶晶 |
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Description: 频率估计的几种算法，包括music算法，rife算法，周期图法，pisarenko,levenson法-Frequency estimation of several algorithms, including music algorithm, rife algorithm, periodogram, pisarenko, levenson France
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Size: 6144 |
Author: wanghongwei |
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Description: 清华大学张旭东老师《现代信号》处理大作业的代码，实现Pisarenko、Music和Esprit算法。代码高效正确。-This code is programed for the algorithms of Pisarenko,Music and Esprit.And they are especially for the project of modern signal processing ,which is tought by Zhang Xudong in Qinghua University.
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Size: 622592 |
Author: zhaoluckydog |
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Description: 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 autocorrelation matrix, \mathbf{R}_x, if the eigenvalues are sorted in decreasing order, the eigenvectors corresponding to the p largest eigenvalues (i.e. directions of largest variability) span the signal subspace. The remaining M-p eigenvectors span the orthogonal space, where there is only noise. Note that for M = p + 1, MUSIC is identical to Pisarenko harmonic decomposition. The general idea is to use averaging to improve the performance of the Pisarenko estimator.
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Size: 1024 |
Author: Said |
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