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7下载：
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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输入为两个信号，采用music算法进行特征分解，实现测向的目的-Input into two signals characteristic decomposition algorithm using music to achieve the purpose of finding
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对比capon和music算法的测向效果，music采用特征分解法，测向比Capone更准确-Comparison of capon and music finding algorithm results, music by feature decomposition method, finding more accurate than Capone
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基于实值特征值分解的求根MUSIC算法Based on real eigenvalue decomposition algorithm for finding roots of MUSIC-Based on real eigenvalue decomposition algorithm for finding roots of MUSIC
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MUSIC算法原理及其Matlab仿真.设有m个阵元，p个信号源，x(n)为观测数据,令其特征值分解,然后把特征矩阵U的列向量分为信号特征向量和噪声特征向量-MUSIC Algorithm and its Matlab simulation. With one array element m, p a signal, x (n) for the observed data, so that it eigenvalue decomposition, and then the column vect
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MUSIC，多重信号分类法，基于子空间分解，是DOA估计中的经典高分辨方法，初学者必须懂的。-MUSIC, multiple signal classification method based on subspace decomposition, is the classic high-resolution DOA estimation method for beginners to understand.
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MUSIC方法，对相关矩阵分解为噪声子空间和信号子空间，然后搜索得到需要估计的频谱-MUSIC method, the decomposition of the correlation matrix for the noise subspace and signal subspace, then search to get the spectrum to be estimated
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MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成-MUSIC algorithm is a feature space based on matrix decomposition method. From the geometric point of view, the o
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子空间特征值分解的法是波达方向估计的常用方法 下面提供的是两种 高分辨率的music和esprit程序-Subspace eigenvalue decomposition method is a wave of direction of the commonly used method provided below estimates is two kinds of high resolution music and esprit program
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子空间特征值分解的法是波达方向估计的常用方法 下面提供的是两种 高分辨率的music和esprit程序-Subspace eigenvalue decomposition method is a wave of direction of the commonly used method provided below estimates is two kinds of high resolution music and esprit program
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根据简谱和十二平均律自动合成音乐，以及对音乐进行基频分析，分解为简谱。-According to the law and the 12 chords on average to synthesize music, as well as to the music on a frequency analysis, the decomposition for chords.
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利用matlab实现特征分解法music法的matlab程序实现，不是调用函数，而是通过算法思想一步步实现的，希望对完成课程作业的同学有用-Using matlab to achieve the characteristics of decomposition matlab program of law music law, not to call the function, but rather a step by step through the algorithm thought, I h
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基于天线阵列协方差矩阵的特征分解类DOA估计算法中，MUSIC算法具有普遍的适用性，只要已知天线阵的布阵形式，无论是直线阵还是圆阵，不管阵元是否等间隔分布，都可以得到高分辨的估计结果。-DOA estimation algorithm, MUSIC algorithm has universal applicability of decomposition classes based on the characteristics of the antenna array covariance m
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基于解相干的MUSIC源程序合集：Toeplitz算法；矩阵分解算法；空间平滑MUSIC源程序；矢量奇异值法；-Collection based on decorrelation MUSIC source: Toeplitz algorithm matrix decomposition algorithm spatial smoothing MUSIC source vector singular value method
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music算法：矩阵特征空间分解，在空间谱域求取谱函数最大值，其谱峰对应的角度即是来波方向角的估计值。-music algorithm: Matrix feature space decomposition, in the spatial spectral domain to strike a maximum spectral function, its spectral peaks corresponding to the angle that is DOA angle estimate.
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MUSIC是基于天线阵列协方差矩阵的特征分解类DOA估计算法，这里是波束空间MUSIC算法源程序。-MUSIC DOA estimation algorithm is based on the decomposition class features antenna array covariance matrix, here is the beam space MUSIC algorithm source.
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MUSIC算法是基于天线阵列协方差矩阵的特征分解类DOA估计算法，这里给出的是基于解相干的MUSIC算法。-MUSIC algorithm is based on the antenna array covariance matrix eigen-decomposition DOA estimation algorithm presented here is based on the MUSIC algorithm decoherence.
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MUSIC算法是一种基于矩阵特征空间分解的方法。给出了空间平滑music算法的MATLAB程序和常规的MATLAB程序，可进行对比学习。(Music algorithm is a method based on matrix feature decomposition. The MATLAB program and the routine MATLAB program of the spatial smoothing music algorithm are given, which can be
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MUSIC谱分解算法，For the MUSIC decomposition pseudospectrum PMUSIC(θ) where M = 6, d = λ/2, Set the vertical scale to be ?30 to 5 dB and horizontal scale to be ?85? to 85?.(MUSIC decomposition pseudospectrum)
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基于解相干的MUSIC源程序，Toeplitz算法，矩阵分解算法，空间平滑MUSIC源程序，矢量奇异值法(MUSIC source program based on decoherence, Toeplitz algorithm, matrix decomposition algorithm, space smooth MUSIC source program, vector singular value method)
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