清华大学的数据结构讲座，C++语言，相当不错，还有我。

虚拟机设计与实现源代码，很不错的源代码。至于书籍可到网上下载！-Virtual Machine Design and Implementation of source code, source code is pretty good. As for books can be purchased online at download!

PQ分解法，有些还需要改进，该程序所对应的例子是东南大学陈珩编的《电力系统稳态分析（第二版）》的例4-5-PQ decomposition, some also needs to be improved, The procedure corresponding to the example of Southeast University, Chen Heng addendum to the "steady-state power system analysis (second edition)" 4-5 cases

NS2对初学者的教程(英文版) 此文档概括的给出了NS的使用和TCL的语法，对NS的入门很有帮助-NS2 tutorial for beginners (in English) This document gives the general use of NS and TCL syntax, on the NS entry helpful

这是我闲时无聊写的小游戏，完整的win32 GDI游戏教学。对新手很有用。包括游戏和地图编辑器。还有已经制作好的8个关卡地图文件。-This is my leisure to write silly little games, complete games win32 GDI teaching. Useful for the novice. Including games and map editor. There has produced a good 8 points map document.

一个CDMA手机BREW的3D游戏的源代码，希望能对大家有所帮助。-a CDMA mobile phone BREW 3D game"s source code, we hope to help.

在应用程序中加入flash,一个可以在软件窗体中加入flash的源代码程序-the application to add flash, the software can be a window into the flash source code procedures

Alpha-data 的 采集卡，主要是Gigabit Ethernet ，LVDS ， PCI/PCI-X 的VHDL 程序 -Alpha-data acquisition card, is Gigabit Ethernet, LVDS, PCI/PCI-X of the VHDL program

完成双正交信号的数字通信系统的蒙特卡罗仿真。分析其在加性高斯白噪声下误码率与信噪比之间的关系，绘出误码率-信噪比曲线图，并和理论曲线进行比较。-Complete pairs of orthogonal signals in Monte Carlo simulation of digital communication systems. Analysis of the additive white Gaussian noise bit error rate and signal to noise ratio under the relationship between the mapped BER- signal to noise ratio curve, and and the theoretical curves for comparison.

LEON3 SOC GRlip IP core. Memory controller.-LEON3 GRlip SOC IP core. Memory controller.

平均或标准差，通常计算了信号的分析，整体的一部分。但是，有时我们想知道这个数量在不断变化的数据流。 MEANSTDF计算预期的平均值和标准偏差值使用定义为每一个用户的数据的位置窗口。输出可能是有用的，而非线性趋势化和平稳性分析。-Mean or standard deviation are usually computed for whole part of the analysed signal. However, sometimes we would like to know how this quantities are changing in the data flow. MEANSTDF compute the expected mean and standard deviation values using user defined window for every data position. The output can be useful while nonlinear detrending or stationarity analysis.