gatbx

用了一个多小时才传俩 光学相差程序 MATLAB编写 欢迎指教(MATLAB and discrib the abrration )

calculate the approximate entropy of heart rate varibility

v-blast4x4_dast程序，用于mimo信道闭环系统中，加入旋转矩阵贺信道dast编码,用于提高信道容量和误比特性能(v-blast4x4_dast procedures for MIMO channel closed-loop system, by adding rotation matrix Road DAST letter codes, used to improve channel capacity and BER performance)

Menghitung matriks jacobian

游程检验,适用于数学学习学生，或者计算机方面需要的研究者(Runs test for students of mathematics learning, or the computer needs of researchers)

matlab编写的计算圆贴片天线贴片半径的程序。用户指定贴片的工作模式，工作频率，以及介质板厚度、介电常数，程序返回贴片半径(matlab round to prepare the calculation of the radius of patch antenna patch procedure. User-specified mode of the patch, the frequency of job, as well as the medium thickness, dielectric constant, procedures radius back patch)

this brogram to sum to number and show the result to the user

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

说明：  用多层前向网络的BP算法拟合函数 说明：1）网络结构为三层（输入层、1个隐层和输出层）； 2）获取两组数据，一组作为训练集，一组作为测试集； 3）用训练集训练网络； 4）用测试集检验训练结果。(Fitting the function with BP algorithm of multilayer forward network)

通过步进电机的数学模型对二相步进电机进行仿真，并通过卡尔曼滤波处理数据，最终通过处理后的数据预估两相步进电机的相电流和相电压。(The mathematical model of the stepping motor is used to simulate the two-phase stepping motor, and the data are processed by Kalman filter. Finally, the phase current and phase voltage of the two-phase stepping motor are predicted by the processed data.)