maoqou_V7.5

关于UKF的仿真程序，注释详细，还包含有两个演示程序，分别针对一维和二维的跟踪情况，与EKF作比较，充分说明了UKF在非线性情况下优于EKF(The simulation program on the UKF, comments in detail, also includes two demo program, respectively for the one-dimensional and two-dimensional tracking of cases, compared with the EKF, UKF speaks better than the EKF in nonlinear case)

计算米散射参数，包括消光系数，散射系数，不对称因子(Calculation of rice scattering parameters)

基于卡尔曼滤波的MATLAB 扩展程序，可以供大家参考下(Kalman filter-based MATLAB extension, for your reference)

Krylov Fixed Structure Automata in Cellular Automata Matlab Code

说明：  地磁场在缺陷微磁检测中的计算To the magnetic field in the defect detection of micro-computing(To the magnetic field in the defect detection of micro-computing)

基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵，粗糙度A1， 惯性矩A2，纹理熵A3，相关度A4，方差A5，逆差矩阵A6(extract texture)

svm 分类 matlab应用主要解决 分类、预测问题编译错误(Application of SVM classification matlab)

computes PAPR of ofdm signal for different ofdm block length

DF schemes provide better performance than the AF schemes. However DF schemes are more computationally intensive at the RS. Also transmit diversity seems to perform better than receive diversity. However receive diversity does not need the BS to transmit during the second phase. Hence it can schedule another user in this slot. The benefit of receive diversity will be visible when we do network simulations

用SVM进行声音分类的程序，自己编的，效果挺好，用的是libsvm工具箱(With the sound of SVM classification procedures, own, and the effect is very good, with the libsvm toolbox)