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用C开发程序时调用Matlab的功能，为精通Matlab编程一书中附带的程序，感觉比较适合初学者。(C development process called Matlab functions, Matlab programming proficiency for a book accompanying procedures, feeling more suitable for beginners.)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

MATLAB环境下的基于HMM模型的语音识别系统(MATLAB environment model based on HMM Speech Recognition System)

说明：  MTT算法源程序，附带所有相关论文，多点多时追踪算法(MTT algorithm source code, with all relevant papers, multi-point tracking algorithm for a long time)

使用imfilter和fspecial实现空间滤波(To use imfilter and fspecial spatial filtering)

this is function used for local histo gram equalization. you have to pass the window size

我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 LSXLzG 算法中的k均值聚类算法，模式识别大作业，在MATLAB ztjgIKe环境下，性能优良。(I write MATLAB program, just started to learn some data mining only, is LSXLzG classification algorithm in the k-means clustering algorithm, pattern recognition large operations in MATLAB ztjgIKe environment, excellent performance.)

梁在横向荷载作用下的挠度曲线和应力分布，matlab实现的有限元程序，单元为Wilson非协调元 将matlab工作目录设为解压后的文件夹 依次执行 main postprocessing 两条命令(Matlab Program for FEA)

电磁场中的数值方法，本书包含所有的电磁场方面使用的数值方法，且有丰富的代码（FORTAN 和 C++），本书是英文版的(Electromagnetic field numerical methods, the book contains all of the numerical methods used in electric fields, and there is a wealth of code (FORTAN and C++), the book is in English)

K-Means image Processing