FM_DCSK

matlab的二次拟合程序源码与大家分享！直接是M文件！(matlab secondary source fitting procedures to share with you! M file directly!)

C++反射的一种简单实现 A simple way to make cpp reflection real(A simple way to make cpp reflection real)

实现MUSIC谐波分解,对于多个频率的估计(Realize MUSIC harmonic decomposition)

卡尔曼滤波器的MATLAB仿真，很有用，很容易看懂(MATLAB Kalman filter simulation, very useful, very easy to understand)

用遗传算法改进支持向量机的算法，虽然比较老点，但是还是很有用。(This program is about SVM which is improved by PSO.I think it is a good algorithm)

用matlab写的FFT程序。简单易懂！(FFT with matlab written procedures. Easy-to-read!)

说明：  基于MATLAB中多径非时变信道仿真与分析，可以实现以下简单信道模型的测试！(MATLAB-based non-time-varying multipath channel simulation and analysis, you can achieve the following simple channel model of the test!)

改进的总体经验模态分解,效果不错,欢迎讨论(Improved overall empirical mode decomposition, the effect is good, welcome to discuss)

基于MATLAB小波去噪程序，已经测试好了，可以直接使用的，提供给需要的朋友们(this is a study on wavelet)

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)