100yineisushu

C#屏保程序- 文字滚动的屏幕保护，一个屏保程序，启动后显示文字滚动，可在代码中定义滚动文字的内容和速度，你可以通过本源码了解下如何实现窗体中的文字滚动，如何制作无标题栏和菜单栏的无边框窗体，如果导出成屏幕保护的运行模式等。

lugre摩擦模型，描述摩擦力的作用过程，matlab代码仿真实验(Simulation of friction model)

带声音的flash按钮特效+源文件，Flash制作一个简单的带音效的按钮，鼠标放在按钮上时，发出声音，比不带声音的按钮更形象，操作感觉更生动。

一个用java写的手机游戏-五子棋,界面做的欠缺了点.-a written using java mobile phone games- 331 interface so the lack of points.

一个3阶的CIC内插滤波器，可作为delta sigma DAC升采样率模块，用于半带滤波器后。-a three bands CIC interpolation filter, as delta sigma DAC sampling rate or module for the half-band filter.

独立集是指图 G 中两两互不相邻的顶点构成的集合。任意有关图中团的性质都能很自然的转述成独立集的性质。一般而言，寻找图的最大团是 NP 困难的，从而寻找图的最大独立集也是 NP 困难的。用模拟退火算法找出图的最大独立集。(Independent set is a set of vertices in graph G that are not adjacent to each other. The properties of cliques in any graph can be naturally expressed as the properties of independent sets. Generally speaking, it is NP-hard to find the maximum clique of a graph, so it is NP-hard to find the maximum independent set of a graph. Simulated annealing algorithm is used to find the maximum independent set of graphs.)

让两个眼球跟着你的脸而转的系统，不是原创，但发现做了也挺有意思 -The two eyes follow you, they turned to face the system, not the original, but it was found that also make a quite interesting

文针对 INS/ GPS舰船用组合导航系统进行 研究,为提高 INS 误差的修正精度,采用高精度 GPS姿态测量系统为 INS提供外部修正信息,以增 强系统的观测量.在对自适应卡尔曼滤波器分析的 基础上,提出了一种新的基于新息估计的自适应卡 尔曼滤波算法,以解决外部量测噪声出现不确定强 度变化问题.(Text for the INS/GPS navigation system for ships to study, to improve the accuracy of INS error correction, using high-precision GPS attitude measurement system for the INS amended to provide external information to enhance the system of observations. In the adaptive Kalman filter Based on the analysis, a new interest rate is estimated based on the new adaptive Kalman filter algorithm to solve the external uncertainties, the measurement noise intensity change.)

说明：  模拟现实生活中的时钟。并且它还具有定时闹钟的功能。(Simulate real-life clocks. And it also has the function of timing alarm clock.)

基于偏最小二乘回归的matlab中无信息变量消除算法的特征选择(Feature Selection of No Information Variable Elimination Algorithm in Matlab Based on Partial Least Squares Regression)