pie

剑桥大学的系统辨识工具箱，对许多应用都比较有用(Cambridge University System Identification Toolbox, for many applications are more useful)

本人编写的绘制离散信号在滤波前后的频谱图(I prepared by drawing discrete signal frequency spectrum before and after filtering)

经典的检测直线的算法,Matlab源码 用Matlab6.5实现(classic line detection algorithms, source code using Matlab achieve Matalab 6.5)

关于随机共振的所有实例，有势阱含义的动画显示，有随机共振系统检测微弱信号，还有输入输出的信噪比计算，非常好的源程序，希望对您有帮助(You can use those files to learn the concept of sr.)

Neural Predictive Control using Quasi Newton Optimization

运用误差载入法提高抗干扰过程的鲁棒性,应用于GPS抗干扰(Error loading method to improve the use of anti-jamming process robustness)

gson2.2.2的3个jar包，需要的可以下载(gson2.2.2 of 3 jar package, need to be downloaded)

说明：  监督学习训练网络，可以运用到雷达信号处理中(Supervised learning training network can be used in radar signal processing)

Bundler v0.3 Installation Guide copyright 2009 Noah Snavely (snavely@cs.cornell.edu) based on the Photo Tourism work of Noah Snavely, Steven M. Seitz, (University of Washington) and Richard Szeliski (Microsoft Research) For more technical information, visit http://phototour.cs.washington.edu The source provided in this distribution can be accessed at http://phototour.cs.washington.edu/bundler/

matlab源码，对稀疏编码算法的实现以及测试，内含详细程序。(The matlab source code, implementation and testing of sparse coding algorithm, containing detailed program.)