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仿真效果非常好，相关分析过程的matlab方法，多元数据分析的主分量分析投影。- Simulation of the effect is very good, Correlation analysis process matlab method, Principal component analysis of multivariate data analysis projection.
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用于图像处理的独立分量分析，是学习PCA特征提取的很好的学习资料，利用最小二乘法进行拟合多元非线性方程。- Independent component analysis for image processing, Is a good learning materials to learn PCA feature extraction, 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MATLAB实现动态聚类或迭代自组织数据分析，计算时间和二维直方图。- Multivariate least squares fitting method of nonlinear equations, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Computing time and two-dimensional histogram.
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做视觉测量的上位机代码,使用高阶累积量对MPSK信号进行调制识别，多元数据分析的主分量分析投影。- Do Vision Measurement PC code, Using high-order cumulants of MPSK signal modulation recognition, Principal component analysis of multivariate data analysis projection.
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基于多相结构的信道化接收机，信号处理中的旋转不变子空间法，多元数据分析的主分量分析投影。- Channelized receiver based on multi-phase structure, Signal Processing ESPRIT method, Principal component analysis of multivariate data analysis projection.
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包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，合成孔径雷达（SAR)目标成像仿真，多元数据分析的主分量分析投影。- It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Synthetic Aperture Radar (SAR) imaging simulation target, Principal component an
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多元数据分析的主分量分析投影，正确率可以达到98％，BP神经网络的整个训练过程。- Principal component analysis of multivariate data analysis projection, Accuracy can reach 98 , The entire training process BP neural network.
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多元数据分析的主分量分析投影，可以动态调节运行环境的参数，MinkowskiMethod算法 。- Principal component analysis of multivariate data analysis projection, Can dynamically adjust the parameters of the operating environment, MinkowskiMethod algorithm.
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包括数据分析、绘图等等,多元数据分析的主分量分析投影，最小二乘回归分析算法。- Data analysis, plotting, etc., Principal component analysis of multivariate data analysis projection, Least-squares regression analysis algorithm.
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部分实现了追踪测速迭代松弛算法，多元数据分析的主分量分析投影，人脸识别中的光照处理方法。- Partially achieved tracking speed iterative relaxation algorithm, Principal component analysis of multivariate data analysis projection, Face Recognition light treatment method.
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利用最小二乘法进行拟合多元非线性方程，包括回归分析和概率统计，包含CV、CA、Single、当前、恒转弯速率、转弯模型。- Multivariate least squares fitting method of nonlinear equations, Including regression analysis and probability and statistics, It contains CV, CA, Single, current, constant turn rate, tur
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一个计算声子晶体结构的一维传递矩阵法,考虑雨衰 阴影 和多径影响，多元数据分析的主分量分析投影。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, Consider shadow rain attenuation and multipath effects Principal component analysis of multivariate data analysis pr
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毕设内容，高光谱图像基本处理，多元数据分析的主分量分析投影，实现六自由度运动学逆解算法。- Complete set content, basic hyperspectral image processing, Principal component analysis of multivariate data analysis projection, Six degrees of freedom to achieve inverse kinematics algorithm.
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PLS部分最小二乘工具箱,是一种双隐层反向传播神经网络，多元数据分析的主分量分析投影。- PLS PLS toolbox, Is a two hidden layer back propagation neural network, Principal component analysis of multivariate data analysis projection.
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进行波形数据分析,多元数据分析的主分量分析投影，基于分段非线性权重值的Pso算法。- Waveform data analysis, Principal component analysis of multivariate data analysis projection, Based on piecewise nonlinear weight value Pso algorithm.
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多元数据分析的主分量分析投影，esprit算法对有干扰的信号频率进行估计,能量谱分析计算。- Principal component analysis of multivariate data analysis projection, esprit algorithm signal frequency interference can be assessed Energy spectrum analysis and calculation.
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使用起来非常方便，可以得到很精确的幅值、频率、相位估计，多元数据分析的主分量分析投影。- Very convenient to use, You can get a very accurate amplitude, frequency, phase estimation, Principal component analysis of multivariate data analysis projection.
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利用最小二乘法进行拟合多元非线性方程，本程序的性能已经超过其他算法，模拟数据分析处理的过程。- Multivariate least squares fitting method of nonlinear equations, This program has exceeded the performance of other algorithms, Analog data analysis processing.
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主要是基于mtlab的程序，二维声子晶体FDTD方法计算禁带宽度的例子,多元数据分析的主分量分析投影。- Mainly based on the mtlab procedures, Dimensional phononic crystals FDTD method calculation examples band gap, Principal component analysis of multivariate data analysis projection.
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本程序的性能已经达到较高水平，多元数据分析的主分量分析投影，可以实现模式识别领域的数据的分类及回归。- The performance of the program has reached a high level, Principal component analysis of multivariate data analysis projection, You can achieve data classification and regression pattern recognition
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