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带ID的lpc2368 CAN通信，包括初始化、中端、CAN通信和串口通信(With the ID lpc2368 CAN communications, including initialization, in the end, CAN communications and serial communication)

Many of us wish to create our own video games. For some, gaming is a hobby, and for others it is something fun to participate in casually. But for the rest of us, gaming and the dream of making our own games is more like a passion. Chances are, if you’ve purchased this book, you are looking to turn your desire and passion into something you can play and share with others.

获得IP地址和MAC地址的对应关系网络课实验。 根据IP地址发送和接受ARP包获得对应MAC地址。(Access to correspondence between the experimental class network IP address and MAC address. Send and receive ARP packets to obtain the corresponding MAC addresses based on IP addresses.)

系统辨识中的递归最小二乘参数估计的matlab程序算法(System Identification of recursive least-squares parameter estimation algorithm matlab program)

用于2维的射线追踪，也可以用于地震资料的层析成像(For 2-dimensional ray tracing, seismic data can also be used for the tomographic imaging)

DS18B20温度测量实验 功能:在数码管上显示当前DS18B20测到的温度 小数部分为4位,温度为负时，最高位显示"-" 测量范围:-55℃ ～ +125℃(DS18B20 temperature measurement test functions: in the digital tube displays the current measured temperature of DS18B20 fractional portion 4, the temperature is negative, the highest display " -" Measuring range:-55 ℃ ~+125 ℃)

Bloom效果(附代码), 很酷的一个效果，效率不算高。互相交流一下。看看吧！(Bloom effect (with code), a cool effect, efficiency is not high. Exchange about. Let' s see it!)

说明：  主要是基因识别的 matlab程序 一种全新的算法(Gene identification is mainly a new algorithm matlab program)

An article with code on how to create the Alpha effect (fading in and out effect). Starts with the application of alpha on images, and ends with the creation of alpha animation. This is NOT about the Per Pixel Alpha Blend used in Windows. (An article with code on how to create the Alpha effect (fading in and out effect). Starts with the application of alpha on images, and ends with the creation of alpha animation. This is NOT about the Per Pixel Alpha Blend used in Windows. )

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)