pattern-identification-

求解大型线性方程组的GMRES方法，文件显示了详细的算法和原理(For solving large linear equations of the GMRES method, the file shows the detailed algorithm and theory)

附件的代码为Gabor变换的源代码，运行正常，并且非常实用。(Annex Gabor transform code for the source code, operating normally, and very practical.)

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.)

说明：  To solve an initial value problem, say, equation y = dsolve( Dy = y*x , x ) with y(1) = 1, use of calculus of vaiation

turbo码相关的程序 以及3GPP协议 对于研究turbo码方面的朋友有很大帮助，包括编码译码等等程序(turbo codes and procedures related 3GPP protocol for the study of aspects of turbo codes friends are very helpful, including the coding and decoding procedures, etc.)

vector control of induction machines

MATLAB Game: PONG this is a very simple game written by MATLAB.

说明：  利用MATLAB语言编写的直流电动机转矩特性测试程序(The use of MATLAB language features of the DC motor torque test procedure)

In mathematics and signal processing, the Z-transform converts a discrete time-domain signal, which is a sequence of real or complex numbers, into a complex frequency-domain representation. It can be considered as a discrete-time equivalent of the Laplace transform. This similarity is explored in the theory of time scale calculus.

一个很小的小波分解和重构的程序，很简单，适合出血泽学习(A small wavelet decomposition and reconstruction process is very simple, suitable for bleeding Ze learning)