资源列表
xian
- 易语言多线程多参数源码例程程序结合易语言多线程支持库演示了多参数的多线程应用。 -Easy language multi-threaded multi parameter source routine procedures combined with easy language multithreading support library to demonstrate the application of multi-threaded multi parameter.
rap
- 一些实用的C小程序 用于解决一些算法问题 如猴子吃桃问题- Some practical C scr ipt uses in to solve some algorithm question like monkeys to eat the peach question and so on
txtLine
- Vb 读取文本数据,每次一行一行显示,以及对文本字符串的分割。-read text data, each party and his party, and the text string segmentation.
21
- 设计SAMPLE语言的词法分析器 a) 启动程序后,先输出作者姓名、班级、学号(可用汉语、英语或拼音); b) 请求输入测试程序名,键入程序名后自动开始词法分析并输出结果; c) 输出结果为单词的二元式序列(样式见样板输出1和2); d) 要求能发现下列词法错误和指出错误性质和位置: 非法字符,即不是SAMPLE字符集的符号; 字符常数缺右边的单引号(字符常数要求左、右边用单引号界定,不能跨行); 注释部分缺右边的界符*/(注释要求左右边分别用/*和*/界定,不能跨行
firdifferentiator
- 数字信号处理及其matlab实现, 美 vinay k.ingle john g.proakis 著 第七章-Matlab digital signal processing and its implementation, the United States vinay k.ingle john g.proakis with Chapter VII of the
123
- 小巧且非常实用的C盘系统垃圾清理批处理程序。在C盘空间不够时,点一下,就可以删除很多垃圾文件,非常好用-Compact and very practical system of refuse removal C drive batch process. Not enough disk space in C, tap, you can delete a lot of junk, very easy to use
mmle_matlab_code-MLE
- 经典文章“Maximum marginal likelihood estimation for nonnegative dictionary learning in the Gamma-Poisson Model”源代码-Classic article " Maximum marginal likelihood estimation for nonnegative dictionary learning in the Gamma-Poisson Model" source co
shijinzhi.c
- 10进制同步计数器,带一个清零端,一个进位输出端-10 N synchronous counter with a clear side, a carry output
oval
- This a used c++ Prepared to deal with 4 sets of 10-story elevator elevator dispatching system, mfc prepared interface, simple operation, powerful-This is a used c++ Prepared to deal with 4 sets of 10-story elevator elevator dispatching system, mfc pr
Gray-Level-Manipulation
- Gray Level Slicing on Image
fisher_identify
- 学进一步了解分类器的设计概念,能够根据自己的设计对线性分类器有更深刻地认识,理解Fisher准则方法确定最佳线性分界面方法的原理,以及Lagrande乘子求解的原理。-school with a better understanding of classification of the design concept, According to the design of linear classification for a more profound understanding, Fisher
