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简单的refprop代码，仅仅只是针对不懂同学，当然还有获取更多资源

多元散射校正算法，用于近红外散射数据处理，增强信噪比-function [Xcorrect]=msc(X,Xref) msc pretreate the samples X with the Multiplicative Scatter Correct Input X:the matrix of the sample spectra to be Correct Xref:the matrix of the sample spectra to be ref Output Xcorrect:the sample spectras was Corrected from the X Programmer: zhimin zhang @ central south university on dec 13 ,2007 Reference: Chemometrics and Intelligent Laboratory Systems 29 (1995) 233-241

开发一个项目，利用线性和非线性数据结构。执行的堆栈与队列使用的链接列表。排入队列，将出列，推，流行音乐，显示的操作。与循环链表的执行情况。插入删除打印查找操作二进制搜索树 ADT 实现与插入、 删除树的遍历，还在执行 Hashing 技术。使用示例数据项目进行测试。

利用C语言产生随机数，每次的随机数都是不一样的，并把随机数写到指定的文件中-The use of C language random number generated each time the random number is not the same, and wrote a random number of the document specified

操作系统中的磁盘调度算法-operating system disk scheduling algorithm

这是计算机算法基础中的动态规划的方法的一个例子，多段图是一个很经典的问题！这里的程序用于求解最小成本路径，用类似的思想可以解决最优分配方案的问题！-This is a computer algorithm based on the dynamic programming methods of an example, many of the map is a classic question! Here the procedures for calculating the minimum cost path, with similar ideas can solve the optimal distribution program!

用VB实现的数据的统计描述 包括分布的矩---均值、平均差、标准差、方差和中位数的搜索、均值与方差的显著性检验等-VB data including the statistical description of the moment-- the distribution mean, mean difference, standard deviation, variance and median search, the mean and variance significantly inspection

pid的算法，带有自整定。还有详细的中文注释。 用户应熟知自动化工程技术，并了解闭环控制的基本原理。

资源描述在cyclone 4上实现了OFDM算法，载波数64个，信源位1.024Mbit/s的PN9伪随机序列，首先4bit一组通过符号映射模块映射城16qam符号，每64个符号一组作IFFT运算，运算结果串行输出，通过数字上变频输出到DA输出

Polynomial fit functions === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.-Polynomial fit functions === === === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.