PROGRAMS

通用路径损耗模型包括Log-distance/normal shadowing计算(General Path Loss Model, including log-distance/normal shadowing path loss model)

毕设，圆拟合程序，使用最小二乘法。 输出圆心，半径。(Picasso, circle fitting procedures set, using least-square method. Output circle, radius.)

描绘曲线，看曲线收敛性,稳定的系统是在时间的无限长时，曲线收敛，证明系统稳定，曲线发散，证明系统不稳定(we can look at zhe line and realize it is stable or not!)

matlab双线性插值算法实现图像放大源代码(matlab bilinear interpolation algorithm to enlarge the image)

基于傅立叶－梅林变换的matlab图像配准程序，可以灵活设置待配准图像的大小及旋转角度等，配准前可以选择多个参数控制配准结果，可以显示配准后的图像及图像间的具体变换参数以及中间结果等(Based on Fourier- Mellin transform matlab image registration procedures, registration can be flexibly set the image size and rotation angle, registration before you can select multiple parameter control registration results, you can display the images and post-registration between images specific transformation parameters and intermediate results)

利用AF-BW filter及双线性变换法设计一DF，满足Wp=0.2p, Ws=0.6p, Ap£ 2dB, As³ 15dB (use AF-BW and bilinear transform filter design a DF, meet Wp = 0.2p, Ws = 0.6p, Ap)

使用MATLAB/SIMULINK分析简单电力系统的小信号（低频振荡）稳定性，研究内容如下： 1）使用SIMULINK建立系统的仿真模型。 2）分析比较有无AVR、PSS对小信号稳定性的影响。 3）分别画出针对励磁机增益KA和PSS增益KSTAB的根轨迹图，分析总结增益KA和KSTAB对小信号稳定性影响的规律。 4）仿真在电压参考值5 阶跃变化情况下有无PSS时的转速响应。 (Using MATLAB/SIMULINK analysis of a simple power system small signal (low frequency oscillation) stability study are as follows: 1) Use SIMULINK to establish a system simulation model. 2) analysis of whether the AVR and PSS for small signal stability. 3) Draw the exciter gain KA PSS gain KSTAB, the root locus plot, analyze and summarize the gain KA and KSTAB small-signal stability of the law. 4) simulation in the case of a 5 step change of the voltage reference value the speed of response with or without PSS. )

用小波变换来对跳频信号进行分析，并估计参数，是一个叫好的办法(Wavelet transform of the frequency hopping signal is analyzed and estimated parameters, is a way to applause)

盲源信号分析kernel-ica,amari_distance,chol_gauss,contrast_emp_grad,contrast_ica,demo_dernel_ica(kica for kernel-ica,amari_distance,chol_gauss,contrast_emp_grad,contrast_ica,demo_dernel_ica)

说明：  模糊神经网络的很好用，例程，非常好用，适合新手(Fuzzy neural network is very easy to use!!!!!!!!!!!!!!!!!!!!)