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一本内容比较全面的matlab教程，非常适合初学者以及查阅使用(The content of a more comprehensive tutorial matlab, very suitable for beginners as well as access to the use of)

一个自己搭建的普通的pscad仿真模型，方便初学者了解pscad相关的原件(One he has built himself an ordinary pscad simulation model, easy for beginners to understand the relevant original pscad)

说明：   这是自己写得一个求GOLD码的一个matlab 的源程序！如果没有输入，缺省值为8位的码，最后可以看到频谱！(This is GOLD for their written a matlab code to a source! If there is no input, default values for the 8-bit code, the final spectrum can be seen!)

这是清华大学出版社胡广书著的《现代信号处理》的Matlab源程序 (This is widely Hu Qinghua University Press book with the "modern signal processing," the source Matlab)

说明：  蚂蚁算法的matlab实现规则来源于大自然的进化。而大自然的进化根据刚才讲的也体现为多样性和正反馈的巧妙结合。而这样的巧妙结合又是为什么呢？为什么在你眼前呈现的世界是如此栩栩如生呢？答案在于环境造就了这一切，之所以你看到栩栩如生的世界，是因为那些不能够适应环境的多样性与正反馈的结合都已经死掉了，被环境淘汰了！(Ant Algorithm matlab from the realization of the rules of nature and evolution. The evolutionary nature of the basis of the speakers also reflected in the diversity and the unique combination of positive feedback. This ingenious combination is Why? Why is presented in front of your eyes the world is so lifelike it? The answer lies in the environment has created all this, because you see life-like world, is because those who could not adapt to the environment of diversity and the combination of positive feedback have been dead and was out of the environment!)

关于软频率复用的分析，主要分析内外环不同功率比下系统的表现(this code is basic introdution of soft frequence reuse, especially aims at the power allocation.)

WiMAX MATLAB Simulator (Simulink model)

ibm cics中间使用件问题解答，内部文档(ibm cics questions between the use of pieces, internal documents)

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.)

Hermite脉冲时域和频域波形。可完全独立运行。(Hermite pulse time domain and f domain)