suanshu_code

主成分分析和偏最小二乘SquaresPrincipal成分分析（ PCA ）和偏最小二乘（ PLS ） ，广泛应用于工具。此代码是为了显示他们的关系，通过非线性迭代偏最小二乘（ NIPALS ）算法。 (Principal Component Analysis and Partial Least SquaresPrincipal Component Analysis (PCA) and Partial Least Squares (PLS) are widely used tools. This code is to show their relationship through the Nonlinear Iterative PArtial Least Squares (NIPALS) algorithm. )

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说明：  Matlab实现多线性主成份分析(MPCA)(Matlab multi linear principal component analysis (MPCA))

降维工具箱，包含主元分析（PCA）,核主元分析（KPCA）等。(Dimensionality reduction kit, including principal component analysis (PCA), Kernel Principal Component Analysis (KPCA) and so on.)

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Matlab小波去噪程序，原创程序，很完整。(Matlab wavelet denoising procedure, original proceedings, it is complete.)

RLS算法详解及对多径信道的均衡，误差曲线特性(RLS algorithm)

利用matlab实现几何矩部不变量的简单算法。(The geometric moments of the invariant of the simple algorithm.)

pid仿真控制器，设计了一个最简单的pid仿真器，并将其模块化(pid emulator)

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