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A guide to matlab for beginner

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

SVPWM详细的simulink仿真，可作为毕设参考资料，可用的仿真，内容做得较全面(SVPWM detailed simulink simulation can be used as complete reference design, simulation available, the content did a more comprehensive)

DSP Fixed point algorithms is used in this wwork. This work is very narrow and same time committement will be solved with new algorithms technique of econmic dispatch.

我用matlab写的一个corner detector, 效果比现在流行的harris，susan，CSS等效果要好。 Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004. Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering. (err)

How data compression is done

说明：  这是一个用matlab读取txt（特定格式）文件并读取文件，画出figure，自动保存和关闭figure。程序运用了深度搜索递归算法。（因为大家没有input的txt文件，所以阅读程序领会思想和方法即可）(This is a use matlab to read txt (a specific format) file and read documents, painted figure, on and off automatically to preserve figure. Procedures for the use of recursive depth search algorithm. (Because there are no input of the txt file, so reader can understand the ideas and methods))

This is code for Embedding in PVD

PSO源代码，求解单目标优化问题，本代码用于求解非线性方程组问题(PSO source code)

The following Matlab project contains the source code and Matlab examples used for two stage kalman fliter for system identification. Reference :Lei Y, Jiang Y Q. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.