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matlab二维拟合函数表达式 应用于lsqcurvefit(@myfun,a0,data,zdata) (非线性最小二乘法拟合)(curve fitting)

克里金插值方法matlab工具箱，可以方便的使用其中的插值函数辅助进行开发，是数据处理、论文撰写的有利工具。(Kriging interpolation method matlab toolbox, you can easily use the interpolation function auxiliary development, data processing, a powerful tool for thesis writing.)

《Experiments with MATLAB》这本书的程序源码，附中文注释，简单易懂，是学习MATLAB编程语言的极好方式。(" Experiments with MATLAB" This book is Open Source, with Chinese notes, easy to understand, is an excellent way to learn MATLAB programming language.)

PCM编码/解码的实现，采用A律13折法进行量化和编码/解码。(PCM encoding/decoding implementations, using A-law 13 to quantify the folding and encoding/decoding.)

二次指数平滑法，仅供参考。需要学习的可以下来看一看(Secondary exponential smoothing method, are for reference only. Need to learn can be down to take a look at the)

平衡车源代码 arduino的，使用3轴加速度，角速度检测，然后是卡尔曼滤波

本文为Stephen J.Chapman《MATLAB 编程（第二版）》英文影印版的中文译本，这本 书对初学者很好的入门教材。(This article Stephen J.Chapman " MATLAB Programming (second edition)," The Chinese translation of the English version of a photocopy, this book is a good primer for beginners.)

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

imagem polar signature matlab

频谱细化程序，matlab的，学完动态信号分析的作业，华南理工大学研究生课程(Spectrum refinement program, matlab, completion of the job of the dynamic signal analyzer, South China University of Technology postgraduate courses)