essai-mm1

求解一幅图像内连接任意两点的变化最平缓曲线上最大值与最小值的差值(Solution to connect any two points within an image change in the most gentle curve of the difference between maximum and minimum)

哈夫曼压缩算法，开发环境Matlab，利用此例程序可以仿真哈夫曼压缩比(Huffman compression algorithm development environment of Matlab, using this example program can simulate the Huffman compression ratio)

一组随机数据进行负二项分布拟合及拟合优度检验(Nbinfit and kstest)

D:matlab mmfit.rar插值(D : Matlab nmm fit.rar interpolation)

2D Fourier变换在光衍射方面的应用一例,对孔函数直接应用FFT2,得到衍射结果；以及FDTD方面的两个不成熟的程序(2D Fourier Transform-ray diffraction case of the application of direct application Kong FFT2 function, be diffraction; FDTD and the two immature procedures)

SER of 4-PAM modulation

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)

模式识别课小作业，利用贝叶斯最小错误率预测，实现细胞正常不不正常的区分(Pattern recognition homework)

采用MATLAB编程，产生一个16QAM中频调制信号。采用MATLAB编程，产生一个16QAM中频调制信号。(Using MATLAB programming, a 16QAM modulation signal frequency. Using MATLAB programming, a 16QAM modulation signal frequency.)

a file for determining a polynomial degrees