《COM本质论》电子书，超星格式，解压后用超星阅读器查看

IEEE 5001 Nexus Debug Interface Standard 2.0

a open source project in linux for peer to peer on seep

实用算法书，参加ACM竞赛同学的可以用来参考，书中包括了ACM竞赛会用到的所有算法，并且每种算法后面附带了实际的ACM题目，题目均来自uva在线判题系统-Practical Algorithm for the book, students participate in ACM contest can be used to refer to the book include the ACM contest will be used in all algorithms and each algorithm behind the ACM with the actual subject of the title comes from uva-line sub-title system

数据结构计算机机专业的必修课程，这是清华版本的习题解答，对学习和考试很有帮助-data structure is a option for the student major in computer ,this is QingHua execise answer,it is use for study and examination

手机游戏西方的米国以及奥普联盟，三大国互相制约，并且积极的寻找新型的能源。2年前，一颗带有紫色光芒的彗星冲破大气层，落到俄斯星球的南极点，造成了巨大的环境变化。3个月前在俄斯星球的热带大陆出现了一种紫色的矿石，很有可能含有巨大的能源，人们给他命名为“塞尔维森矿石-Mobile Games Western countries, as well as m op Union, the three countries to offset each other, and an active search for new sources of energy. 2 years ago, a comet with a purple light broke through the atmosphere, the planet" s South Pole landed Esi, causing a huge environmental changes. 3 months ago Esi planet" s tropical continent, a purple ore is likely to contain vast energy resources, the people gave him the name " Seerweisen ore

详细讲解了java的基础知识，配有源码，浅显易懂。适合初学者阅读学习。-java detailed account of the basic knowledge, equipped with a source, simple words. For beginners to learn to read.

初学者的良师益友。其中包括C的全部教程。-beginners mentor. Including the full C Directory.

Effective C++, 3rd Edition

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

DELPHI]中科院计算机所培训讲义-DELPHI] by the Chinese Academy of Sciences Computer training lectures