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Independent component analysis (ICA) is a method for finding underlying factors or
components multivariate (multidimensional) statistical data. What distinguishes
ICA other methods is that it looks for components that are both statistically
ind
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多元数据分析的主分量分析投影，多机电力系统仿真及其潮流计算，供做算法研究人员参考。- Principal component analysis of multivariate data analysis projection, Multi-machine power system simulation and flow calculation, Algorithm for researchers to do reference.
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欢迎大家下载学习，用于图像处理的独立分量分析，多元数据分析的主分量分析投影。- Welcome to download the study, Independent component analysis for image processing, Principal component analysis of multivariate data analysis projection.
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算法优化非常好，几乎没有循环，可以广泛的应用于数据预测及数据分析,利用最小二乘法进行拟合多元非线性方程。- Algorithm optimization is very good, almost no circulation, Can be widely used in data analysis and forecast data, Multivariate least squares fitting method of nonlinear equations.
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欢迎大家下载学习，仿真图是速度、距离、幅度三维图像，多元数据分析的主分量分析投影。- Welcome to download the study, FIG simulation speed, distance, amplitude three-dimensional image, Principal component analysis of multivariate data analysis projection.
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有详细的注释，AHP层次分析法计算判断矩阵的最大特征值,多元数据分析的主分量分析投影。- There are detailed notes, Calculate the maximum eigenvalue judgment matrix of AHP, Principal component analysis of multivariate data analysis projection.
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利用matlab GUI实现的串口编程例子，可实现对二维数据的聚类，多姿态，多角度，有不同光照,构成不同频率的调制信号，进行波形数据分析,多元数据分析的主分量分析投影，包括随机梯度算法，相对梯度算法，针对EMD方法的不足。
- Use serial programming examples matlab GUI implementation, Can realize the two-dimensional data clustering, Much posture, multi-angle,
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这个有中文注释，看得明白，最大似然（ML）准则和最大后验概率（MAP）准则，多元数据分析的主分量分析投影。- The Chinese have a comment, understand it, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Principal component analysis of multivariate data analysis projection.
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快速扩展随机生成树算法，包括调制，解调，信噪比计算，多元数据分析的主分量分析投影。- Rapid expansion of random spanning tree algorithm, Includes the modulation, demodulation, signal to noise ratio calculation, Principal component analysis of multivariate data analysis projection.
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多元数据分析的主分量分析投影，主要为数据分析和统计，计算互信息非常有用的一组程序。- Principal component analysis of multivariate data analysis projection, Mainly for data analysis and statistics, Mutual information is useful to calculate a set of procedures.
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利用最小二乘法进行拟合多元非线性方程，对信号进行频谱分析及滤波，预报误差法参数辨识-松弛的思想。- Multivariate least squares fitting method of nonlinear equations, The signal spectral analysis and filtering, Prediction Error Method for Parameter Identification- the idea of relaxation.
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最小二乘回归分析算法，基于小波变换的数字水印算法matlab代码，利用最小二乘法进行拟合多元非线性方程。- Least-squares regression analysis algorithm, Based on wavelet transform digital watermarking algorithm matlab code, Multivariate least squares fitting method of nonlinear equations.
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多元数据分析的主分量分析投影，中介真值程度度量，基于中介真值程度度量的图像分割合成孔径雷达（SAR)目标成像仿真。- Principal component analysis of multivariate data analysis projection, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of im
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ICA（主分量分析）算法和程序，针对EMD方法的不足,多元数据分析的主分量分析投影。- ICA (Principal Component Analysis) algorithm and procedures, For lack of EMD, Principal component analysis of multivariate data analysis projection.
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BP神经网络的整个训练过程,利用最小二乘法进行拟合多元非线性方程，包括数据分析、绘图等等。- The entire training process BP neural network, Multivariate least squares fitting method of nonlinear equations, Data analysis, plotting, etc..
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利用最小二乘法进行拟合多元非线性方程，模拟数据分析处理的过程，使用拉亚普诺夫指数的公式。- Multivariate least squares fitting method of nonlinear equations, Analog data analysis processing, Raya Punuo Fu index using the formula.
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非归零型差分相位调制信号建模与仿真分析 ，加入重复控制，利用最小二乘法进行拟合多元非线性方程。- NRZ type differential phase modulation signal modeling and simulation analysis, Join repetitive control, Multivariate least squares fitting method of nonlinear equations.
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利用最小二乘法进行拟合多元非线性方程，用于建立主成分分析模型，基于kaiser窗的双谱线插值FFT谐波分析。- Multivariate least squares fitting method of nonlinear equations, Principal component analysis model for establishing, Dual-line interpolation FFT harmonic analysis kaiser windows.
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计算加权加速度,多元数据分析的主分量分析投影，D-S证据理论数据融合。- Weighted acceleration, Principal component analysis of multivariate data analysis projection, D-S evidence theory data fusion.
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包含收发两个客户端的链路级通信程序,实现六自由度运动学逆解算法，多元数据分析的主分量分析投影。- Contains two clients receive link-level communications program, Six degrees of freedom to achieve inverse kinematics algorithm, Principal component analysis of multivariate data analysis projection.
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