碎纸片的拼接复原算法及MATLAB实现

说明：  一款轻量级的jQuery插件，用于实现鼠标滑过图片时图片标题动画特效(A lightweight jQuery plug-in for animation effects of picture titles when the mouse slides over the picture)

本程序是本人在学习Vc++中，用来练习自己所学的东西。这个程序主要知识点是关闭系统，创建定义按钮。-This program is my learning in Vc++ is used to practice his own things to learn. Main knowledge this program is shut down the system, create a custom button.

说明：  LABVIEW,温度计演示程序,学习用小程序(temperature programe)

说明：  802.11b仿真，使用matlab simulink(802.11b phy simulink)

数字逻辑设计——定时器 1． 设计一个能在0～60分钟内定时的定时器 2． 定时开始工作红指示灯亮，结束时绿指示灯亮 3． 可以随意以分为单位，在60分范围内设定定时时间 4． 随着定时的开始，显示器显示时间，如定时10分，定时开始后显示器依次是0-1-2-3-4-5-6-7-8-10进行即时显示 5． 定时结束时，手动清零(Digital logic design - timer 1. to design a can in 0~60 minutes timer timer 2. timer to start work at the end of the red light, green light can be divided into 3. to 60 units, in the range of 4. set timing time with timing, time display, such as timing 10 minutes after the start of the display timing is in turn 0-1-2-3-4-5-6-7-8-10 real time display at the end of the 5. timing, manual reset)

复数类，傅立叶类（DFT,IDFT,FFT,IFFT)，BIGINT类（其中包含用FFT优化乘法mul_fft）-complex class，fourier class（DFT,IDFT,FFT,IFFT)，BIGINT class（including FFT optimized multiplication mul_fft）

数据结构源程序，对初学者来说有参考作用用数据结构知识，挺复杂的-athlete

Delphi开发的一款基于ODBC的SQL查询插件源代码，自动读取BDE中的数据库别名进行连接，测试时请确认数据库已经通过ODBC连接上。界面使用有控件，若一时找不到控件，可以用Delphi自带的标准控件替换。

说明：  Python project for website

协同区间偏最小二乘 siPLS算法是 N rgaard等对其提出 的 iPLS方法的改进, 其基本算法步骤如下:(1)对原始谱图进行 预处理;(2)在全谱范围内建立全局偏最小二乘模型, 即上节的 模型;(3)在整个光谱区间采用 iPLS建立多个等窗口宽度的子 区间, 假设为 n个;(4)在每个子区间上建立偏最小二乘法模型, 即可得到 n个局部模型;(5)以交叉验证时的均方根误差 RMSE 值为各模型的精度衡量标准, 比较全光谱模型和各局部模型的 精度;(6)组合精度最高的局部子区间为新的回归区间;再在新 的回归区间建立 siPLS模型(Cooperative interval partial least squares (siPLS) algorithm is proposed by N rgaard et al. The improvements of the iPLS method are as follows: (1) the original spectrogram is performed. Preprocessing; (2) establishing a global partial least squares model in the full spectrum, that is, the upper part of the model. Model; (3) use iPLS to establish multiple equal window widths in the whole spectral interval. The interval is assumed to be n; (4) a partial least squares model is established on each sub interval. N local models can be obtained; (5) the root mean square error of cross validation is RMSE The values are the accuracy criteria of each model, and the comparison between the full spectral model and the local models is made. (6) the local interval with the highest combined precision is a new regression interval; and then new. The establishment of siPLS model in the regression interval)