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基于香浓熵的属性简约，用于属性约简，以便分类(data reduction with fuzzy rough sets or fuzzy mutual information)

menu bar 实现windows xp的样式(menu bar to achieve the style of windows xp)

Butterworth high/low and band pass filters are applied to image...

自适应神经模糊推理系统的可运行实例，注释清楚易懂(Operable examples of adaptive neuro-fuzzy inference system)

GMDH_main为GMDH主函数； variable_Combin为输入层初始变量选为x1,x1^2,x1*x2,x2^2,x2时的输入变量矩阵值 variable_select计算X_train训练输入数据,Y_train训练输出数据,X_test测试输入数据,Y_test测试输出数据 Combin为求变量的两两组合 Sym_Combin为求符号变量的两两组合 PE_AIC求每层各神经元的参数估计W，及训练数据在参数估计后估计的输出out_train，测试数据在参数估计后的估计输出out_test，还有与实际比较的误差平方和PESS， 以及准则值AIC sym_representation求最终的输入输出符号表达式 Criterion_value求准则值 (GMDH_main main function for the GMDH variable_Combin initial variables chosen for the input layer, x1, x1 ^ 2, x1* x2, x2 ^ 2, x2 the value of the input variable matrix calculation X_train variable_select training input data, Y_train training output data, X_test test input data, Y_test for the sake of the test output data Combin pairwise combination of variables for the sake of symbolic variables Sym_Combin pairwise combinations PE_AIC neurons find each parameter estimation of the W, and after the training data is estimated in the estimation of output out_train, test data After the parameter estimates of the output estimated out_test, also compared with the actual sum of squared errors PESS, as well as the final criterion value AIC sym_representation seek the input and output values ​ ​ of symbolic expressions Criterion_value find criteria)

在红绿蓝三个通道内对图像进行同态滤波，消除光照(Homomorphic filtering to eliminate the light in the three channels of RGB image)

可对地震波进行积分和基调运算，适合研究生做课题研究。(For get the real displacement ,we can get it by two times integral. But we need to do baseline adjustment.)

应用切片理论计算船舶水动力系数，以一条船分为20站为例进行计算(Application slice theoretical calculations ship hydrodynamic coefficients to a boat into 20 stations as an example calculation)

matlab 编写的简单数字下变频仿真程序，含NCO模块、混频、低通滤波、抽取。模块大多采用matlab自带函数实现( program for DDC simulink base on Matlab)

说明：  通过一个循环方阵A来构造准循环LDPC码的校验矩阵H(make H in QC-ldpc)