adboost-demo

UKF,无迹/无味/采样卡尔曼滤波，组合导航技术，适合初级的学习。(UKF,integrated kalman filter)

GUI学习，可以更好的编写matlab_gui中的小程序。(study GUI to use MATLAB.)

Matlab与HTK的接口程序，用于生成HTK中HMM的初始文件。(Matlab and HTK interface program used to generate the initial HMM file in HTK.)

write a binary data to the disk

基于有限元法求解二维泊松方程的matlab程序(Two-dimensional finite element method based on Poisson equation matlab program)

使用MATLAB编写DLL的一些例子，然后用VB进行调用(vb_call_matlab_dll)

希尔伯特黄变换的matlab程序，用于对信号进行希尔伯特黄变换。(Hilbert-Huang transform matlab procedures used to signal Hilbert Huang Transform.)

应用于MIMO阵列的常规波束形成方法，已经使用多次，正确的。(CBF for MIMO array。)

方向余弦矩阵的matlab代码，可实现不同坐标系的转换(the matlab code of trans_matrix_beam3d,it can transfer the coordinates between different coordinate systems.)

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.)