2a

采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr）(Using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr))

基于RLS算法，NLMS和LMS的自适应滤波器的MATLAB程序(LMS and RLS algorithm performance comparisons, including the right value compared with the)

TOU Demand Response Code

decryption and decryption of a text ( options : upper decoding .. )

最优控制教程，里面详述了不同最优控制方法的解决方法(Optimal control tutorial)

Matlab optimisation

最小二乘互信息估计法,基于最小二乘法来直接估计互信息。(least-square MI estimator)

利用matlab程序设计出匹配滤波器的功能源码(Procedures designed to use matlab function of matched filter source)

介绍了butterworth的二自由度的实现(Describes two degrees of freedom to achieve butterworth)

Delta Rule Matlab code