examples

用于初学MATLAB者一些基本资料 多项式求解等等(English Version)

m序列 matlab开发的源程序代码及m文件(m sequence)

基于MATLAB的计算机控制系统，PID控制器的PI控制仿真分析。(Based on the MATLAB computer control system, PID controller PI control simulation analysis.)

利用重力剖面反演水平圆柱的边界及位置，程序抗干扰能力较差，模型计算加入噪音严重影响结果，但可作为算法参考并加以改进。(Tilt-Depth for gravity profile over horizontal cylinder)

用Matlab实现Gauss法求线性方程组的解(Gauss Method Using Matlab to achieve the solution of linear equations)

简单的SIMULINK,结合MATLAB做的最初级的仿真测试，功能不错，简单易用(EASY SIMULINK)

Checkbox and Radio button example

用matlab实现的3Dplot绘制例子程序。(draw 3Dplot using matlab)

说明：  在工程里识别不同FSK和PSK的三阶循环特性的程序，其中最著名的算法！看通信调制识别的人一定看得懂(In engineering in different FSK and PSK to identify the third-order cycle characteristics of the procedures, most notably the algorithm! Modulation recognition of communication to see people must understand)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)