np-csma-protocol

2D truss analyzer and GUI truss design source code

BER Performance of Variable Width Sinc PAM with a Simple Receiver in AWGN

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.)

OFDM的详细仿真代码，有信道编码，调制，信道估计等(OFDM detailed simulation codes, channel coding and modulation, channel estimation, etc.)

个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。是主函数的源程序，优化函数则以m文件的形式放在fitness.m里面，对不同的优化函数只要修改fitness.m就可以了通用性很强。(Procedures is the most basic particle swarm optimization procedures, using Matlab realize, is very simple. Is the main function of the source, optimizing the function with m the form of documents on fitness.m inside, optimized for different functions as long as the modifications can fitness.m highly generic.)

c#调用matlab函数进行动态画图的简单示例，只是进行了功能演示，界面很粗糙(c# call the matlab function dynamically drawing a simple example, just conducted a functional demonstration of the interface is very rough)

说明：  matlab编写的leader_follower[数据挖掘]分类算法。(Matlab leader_follower prepared by the [data mining] classification algorithm.)

车牌自动识别，用霍夫变换的方法实现车牌倾斜校正(Automatic license plate recognition, license plate tilt correction using the Hough transform method)

暂时只支持jpeg2000支持的 cdf97 与spline53matlab代码.(Being only to support the jpeg2000 supported cdf97 and spline53matlab code.)

Everyday Practical Electronics Magazine 2010 september