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对文本格式的信号先滤波再求频域，便于在神经网络中应用，这是用matlab做的，很有用。(The text format, the signal first and then seek the frequency domain filtering)

matlab image denoising with wavelet transform

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)

Cordic implementation Cos part

Alamouti scheme communication

Buck-Boost电路仿真，用simulink仿真的。针对初学者大家相互学习。(Buck-Boost circuit simulation with simulink simulation. For beginners learn each other.)

用“提前停止”方法提高BP网络推广能力 本例将用提前停止和训练函数TRAINGDX相结合来避免“过度拟合”产生的误差 (The " early stopping" method to enhance the promotion of BP network capacity will be used in this case in advance and training function to stop the combination of TRAINGDX to avoid " over-fitting" error)

Kernel Principal Conponent Analysis 特征提取(Kernel Principal Conponent Analysis feature extraction)

铁电存储器MFIS-FET结构开态电流和关态电流的描述(FRAM MFIS-FET structure of open state current and off current description)

基于MATLAB的数字图像处理的分析，包括图像显示，图像平滑，图像锐化，等(MATLAB-based analysis of digital image processing, including image display, image smoothing, image sharpening, etc.)