matlab-function1

hermite curve plotter for two points and its derivative

SVM light 工具箱 包含window版本和matlab版本 由美国cornell大学的教授Thorsten Joachims部署 执行SVM二分类 速度明显快于libsvm 下载文件中包含 1.例子(inductive SVM 和 transductive SVM) 2.说明文件 3.源程序(SVM light kit (including window version and matlab version) Cornell university professors from the United States to deploy Thorsten Joachims Executive SVM binary classification Significantly faster than libsvm Download file contains 1 example (inductive SVM and transductive SVM) (2) Documentation 3 source)

以优化SVM算法的参数c和g为例，对GSA（引力搜索算法）MATLAB源码进行了详细中文注解。是很好的学习材料。( In order to optimize SVM algorithm parameters c and g as an example, the GSA (Gravitational Search Algorithm) MATLAB source code for a detailed Chinese annotation. Is a good learning materials.)

Understanding of Digital Signal Processing

这是一个使用希尔伯特黄变化提取心音包络的程序(extract the envelope of the heart sound based on hilbert-hung transfrom)

说明：  Matlab 实现的逆变器仿真程序（开环控制）(The realization of the inverter Matlab simulation program)

此文件包含生成swissroll数据集,并用LLE算法进行降维处理,很实用,应该对现在学习流形学习的同学有帮助。(This file contains data sets generated swissroll and dimensionality reduction algorithm with the LLE process, it is useful, it should now learning manifold learning for students help.)

海洋内波压力波时间序列分析程序。用于分析海洋内波，去除高低平潮。(Ocean wave pressure wave in time series analysis program.Is applied to the analysis of ocean internal waves, get rid of the high and low tide.)

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)

基于非线性理论控制的一级倒立摆，在实物上运行可行(Based on nonlinear theory of an inverted pendulum control, running in the physical feasibility)