Control_PID_Motor_Universal

说明：   能够用于计算一幅图像中的欧拉数的小程序(Can be used to calculate an image of the Euler number of small programs)

最优化单纯型法-matlab算法最优化单纯型法-matlab算法最优化单纯型法-matlab算法(Simplex method optimization algorithm optimization-matlab-matlab algorithm simplex method simplex method optimization algorithm-matlab)

这是MATLAB 主要函数指令表（按功能分类）.(This is the main function of MATLAB command table (according to the functions of classification).)

卡农 音乐程序，用matlab编写的，根据蜂鸣器的频率发音，可以自己再编写其他曲目(Canon music program, written using matlab pronunciation buzzer frequency you can re-write other tracks)

汉森1990年发表的协整检验以及面板门限模型的源代码,具有相当大的参考意义(Published in 1990, Hansen cointegration test and panel threshold model of source code, with considerable reference value )

updated Astar algorithm

设计仿真信号，并进行仿真信号的边际谱分析(Hilbert Spectrum)

Donoho经典阀值改进法进行小波去噪，matlab环境下编辑源代码程序(Donoho threshold improvement of classical wavelet denoising method, matlab source code editing environment procedures)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

用来解数独游戏的程序，适合matlab入门者学习参考。(The program to solve Sudoku.)