plotBisection.m

another speaker recognition

局部离群点检测算法，matlab代码实现(local outlier detection)

说明：  用来对数据进行差值计算，并用来进行作图 用来对数据进行差值计算，并用来进行作图(The data used to calculate the margin, and used for mapping)

将core.txt文件放在C盘根目录下,然后打开matlab，点击“文件”-“打开”选中main.m文件，“运行”这个文件。 命令窗口马上就会显示出运行结果。 mm_Red.m为封装的盲目约简算法.返回值为约简结果. sxzyd_Red为封装的基于属性重要度约简算法.返回值为约简结果. bsjz_Red为封装的辨识矩阵约简算法.返回值为辨识矩阵和约简结果. cal_sig为封装的求属性重要度的函数。 max_min为封装的求属性度最大，划分个数最小的属性的函数。 dele_max为封装的删除属性度最大，划分个数最小的属性的函数。 mycore.m为封装的求核函数. myind为封装的求划分的函数. ind_E_a为求每个属性的划分的函数.(Files on the core.txt to the C root directory, then open matlab, click on " File" - " Open" main.m file is selected, " Run this file. The command window is displayed immediately run results. mm_Red.m the package blindly reduction algorithm. return value reduction results. sxzyd_Red degree reduction algorithm based on attributes important to package the return value is the result of the reduction. bsjz_Red matrix reduction algorithm for the identification of the package. return value identification matrix and reduction results. cal_sig package attribute importance to the function. max_min demand for the package attribute degrees largest division of the function of the minimum number of attributes. delete attribute degrees dele_max package is the largest division of the function of the minimum number of attributes. mycore.m seeking nuclear function package. myind package and by function. ind_E_a for the sake of each attribute divided function.)

文件集合了最全的自动控制程序，对系统学习自控的人有很大的帮助。(File set the full automatic control program, the system control of learning has a lot of help.)

LDPC码的matlab实现，把解码的部分改过了，实验过很多次，符合理论要求，码长越长误码率越低(The implementation of LDPC code in MATLAB has changed the decoding part. It has been experimented many times and meets the theoretical requirements. The longer the code length, the lower the bit error rate.)

用matlab编写的找两个输入量之间的主要特征向量,主要方法采用PCA经典算法.(using Matlab prepared for the volume between two input of the main features of Vector, mainly using PCA classical algorithm.)

sssc simulink file of matlab

gamma毕竟参数控制分析，并通过简单函数模拟gamma曲线，并比较模拟误差(gamma transformation control)

采用拉格朗日算法求解机组组合问题，采用的是5机系统(Lagrangian algorithm for solving unit commitment problem, machine system used is 5)