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PCA（主成分分析）算法被广泛应用于工程和科学研究中，本报告主要从PCA的基本结构和基本原理对其进行研究，常规的PCA算法主要采用线性算法，通过研究论证发现线性的PCA算法存在着许多不足，比如线性PCA算法不能从线性组合中把独立信号成分分离出来，主分量只由数据的二阶统计量—自相关阵确定，这种二阶统计量只能描述平稳的高斯分布等，因此必须对其进行改进，经改进后的PCA算法有非线性PCA算法、鲁棒算法等。我们通过PCA算法在直线（平面）中拟和的例子说明了PCA在工程中的应用。本例子采用的是成分分析中的
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彩色图像做差运算，并分RGB 以及亮度进行直方图统计，计算得到二阶导数为零的点，完全自主创作，效果理想-color image so poor operation and the hours for RGB and luminance histogram statistics, calculated second-order derivative of the zero point, entirely independent creation, the result is satisfactor
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This package contains the MATLAB code for the algorithm proposed in the following
papers. The file \"mimo_main.m\" is the implementation of the algorithm in the papers.
The goal of this Matlab scr ipt is to identify a MIMO system with white input
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Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System
Blind Identification Matlab Code
-Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System Blin Matlab d Identification Code
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这是一个关于多输入多输出系统的频域忙识别系统的matlab源码，作者基于二阶和更高阶统计，获得了比较良好的识别效果，文件中包含了文章，可参照起来理解源码。-This is one of the multiple-input multiple-output system in the frequency domain busy Recognition System Matlab source, Based on the second-order and higher-order statistic
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Frequency Domain Blind MIMO System Identification Based on Second- and Higher Order Statistics
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基于二阶统计量的盲源分离算法程序,对原始算法做了一定得改进。-blind source separation based on second order statistics，madke some improvement to the origin arithmetic
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很好用的ICA算法，用于盲分离算法，MATLAB代码，-about ICA Using second-order statistics (different time-delay correlation matrix) of non-stationary and structural characteristics of the signal timing can roughly
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利用二阶统计量(不同时延相关矩阵)的非平稳性和信号时序结构特征，能简单估计出线性瞬时混合的盲源信号。但随时延 增-aracteristics of the signal, which difficult to ensure the performance of algorithm. Analysis of the average characteristics of matrix, and the improved algorithm for blind source separation ba
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进行等时延分段，并对等间隔段的两个时延矩阵分别求取均值，采用类似联合近似对角化，估计出最优化的酉矩阵，-ing second-order statistics (different time-delay correlation matrix) of non-stationary and structural characteristics of the signal timing can roughly estimate that the instantaneous linear mixture
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文献Second-order statistics of an improved jakes fading simulation里的广义Jakes模型的程序-Second-order statistics of an improved jakes fading simulation
WSSJAKES MODEL
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正弦波叠加方法产生clark参考模型
参考文献Second-order statistics of an improved jakes fading simulation-Second-order statistics of an improved jakes fading simulation
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此片文章是利用二阶循环统计量来对具有循环平稳特性的信号的检测算法-This film is the use of the article to the second-order loop statistics with cyclostationary properties of the signal detection algorithm
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Distributed Beamforming for Relay Networks Based on Second-Order Statistics of the Channel Statement Information最小发送功率与最大信噪比的代码，结果与论文中相同，总共9个仿真图-Networks Based on Second-Order Statistics of the Channel Statement Information。Minimum transmit power wit
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基于二阶统计量的SOBI算法，适用于盲源分离-SOBI algorithm based on second-order statistics for blind source separation
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There is a trend to develop blind or semi-blind source extraction algorithms based on
second-order statistics, due to its low computation load and fast processing speed.
An important and primary work is done by Barros and Cichocki, who propose an
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使用matlab实现了计算信号的高阶谱及高阶统计量，使用简便，高效，并给出相关应用，实现了二次谐波信号的检测。-And higher-order statistics to achieve a high-end computing spectrum use matlab signal, easy to use, efficient, and give relevant applications, to achieve the detection of the second harmonic si
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二阶prony方法谱估计方法仿真，四阶prony方法谱估计，白噪声，彩色噪声，四阶统计量，并用GUI设计了一个界面，毕业设计-Prony second-order spectrum estimation method, fourth order prony spectral estimation method, white noise, colored noise, fourth-order statistics, and GUI design with an interface that is
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软件无线电产生调制信号，并估计瞬时幅度、相位的二阶统计，使用神经网络对调制信号进行识别。-Software generates radio modulation signal, and estimates the instantaneous amplitude and phase of the second-order statistics, using a neural network to identify the modulation signal.
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In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier
CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in
comparison with the sub
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