CVBS TO VGA BOM表.是个完整的方案,其余的程序,说明文档也会陆续发上来...

WrappingC++MemberFunctionCalls,一本很好的书啊.-WrappingC MemberFunctionCalls, a very good book ah.

c语言常用算法，是学习c的很好练习的源码。-c language commonly used algorithm, it is a good learning c source code of practice.

OSWorkflow的开发指南与中文手册，以及2.8的流程定义DTD，是学习OSWorkflow的入门必备-OSWorkflow the development of guidelines and English manuals, as well as 2.8 of the flow definition DTD, it is necessary to study entry OSWorkflow

Unix白皮书/电子书-Unix/e-books

一个博士作的报告，详细地告诉你怎样写好英文的文章，对sci ,ei的投高很有帮助-Dr. for a report to tell you in detail how to write the article in English on the sci, ei the high helpful vote

小波变换在信号处理、图像处理、模式识别、计算机视觉等 方面广泛应用。本文提出了一种基于Haar小波的时问序列相似 模式匹配模型．它首先对时间序列数据进行Haar小波变换．以 降低数据的维度。首先将所要查询的时间序列进行降维，也就是 对时间序列数据进行小波变换，对序列进行标准化131，得到降维 之后的小波序列．这样可以得到系数子集的良好近似采用尺度 序列表示原始序列．并将其看成多维空间中的一个点，通过计算 两序列差的平方和的平方根作为这两个时间序列的距离函效 (即欧氏距离)。用小波变换保持了局部性质。而欧氏距离就是要 判断相似性的距离函数．所以当在作完变换之后。通过低频分量 来压缩数据，成功的计算出实际距离的下界。如果计算的结果小 于一个由用户所定义的门槛值．则认为这两个时问序列是相似 的。 在-Of wavelet transform in signal processing, image processing, pattern recognition, computer vision, etc. Aspects of wider application. In this paper, Haar wavelet-based time series similarity Pattern matching model. It is first time-series data, Haar wavelet transform. To To reduce the data dimension. Will first want to check the time series dimension reduction, that is, Pairs of time series data using wavelet transform, standardize the sequence 131, to be reduced- After the wavelet sequence. This can be a good approximation coefficients of a subset of the use of scale Seque

8051 Microcontroller book and embedded systems

VB6控件LISTVIEW使用指南 个人觉得很有用-VB6 controls LISTVIEW Guide feel useful

该书是对C++语言学习中的经典书籍，涉及内容广并有实际的范例程序-The book is a C++ Of classical language learning books, involving the contents of Canton and there is a practical example of the procedure

【英文】Sams - The definitive guide to using, programming, and administering MySQL 4.1 and 5.0 Third Edition-[English] Sams- The definitive guide to using, programming, and administering MySQL 4.1 and 5.0 Third Editi on