ARIMA

matlab 实现系统的参数计算，系统单位阶跃响应的相关参数计算。Matlab real system parameters, the system unit step response of the relevant parameters.(matlab realize the system parameters, the system unit step response of the relevant parameters. Matlab real system parameters, the system unit step response of the relevant parameters.)

用遗传算法解决TSp问题 主要是针对城市要求较少的(Solve TSp problem for the city requires less genetic algorithm)

The receiver performance is quantified by depicting the receiver operating char- acteristics (ROC) curves. This curves serve as a tool to and study the performance of a sensing scheme. ROC graphs are employed to show trade-of vs between detection probability and false alarm rates, (i.e. PD versus PFA), thus allowing the determination of an optimal threshold. To illustrate the performance of energy detectors, we generate complementary ROC curves (the average probability of miss detection $ P_{md} 1 - P_d$ versus the false alarm probability $P_f$ for different receiver structures and in different fading environments.Fig. 1 illustrates the complementary ROC curves for a single channel reception (no diversity) over AWGN channels. This figure depicts the complementary ROC curves for energy detectors.

l曲线的岭参数估计确定相关参数。。。。。。。。。。。。。。(The ridge parameter estimation of the L curve determines the relevant parameters.)

对所采集的数据进行分析，可进行模态分析，阻尼特性的识别等。(Data were collected for analysis, modal analysis, identification damping characteristics.)

1 gaussian random variable generation and plotting using matlab code

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)

This code is to find out the PSNR between two different image, which shows the quality of both images

在matlab中仿真OFDM的源代码：）(OFDM simulation in matlab source code:))

實驗不同的加窗方式對信號頻譜估計的影響。矩形窗，海明窗，漢寧窗(rectwin,hamming,hanning)