Python标准库

古诗文鉴赏可以吗-appreciation of ancient text can?

MATLAB程序设计与应用。包含有matlab程序设计的内容，还有应用！-MATLAB program design and applications. Contains matlab programming content, as well as application!

对于初学JAVA及有点功底的JAVA爱好者，这几本都是好书。-Java for beginners and somewhat grounding of Java enthusiasts, these are the books.

学习java的人要保护自己的权利貌 三十五 严厉打击原理一整套吵城地城地地地地地地地地地地地地区性地地地寺地地地地区性-of learning to protect their rights Maung 35 crack down on a set of principles to the noisy city to city-to- to- to- to- to- to-district to Terachi to-regional-to-

C#进阶经典教材-classic textbook

胡广书的《现代信号处理教程》附书光盘源代码。matlab实现。-HU-book "Modern Signal Processing Guide" CD with source code. Implementation of Matlab.

书名《大学数学实验 MATLAB应用篇学习》matlab的基础书籍，从数学角度学习maltab，一是matlab的入门，二可以培养学习matlab的兴趣。-The title of

make和makefile详解，大家有兴趣看看吧-make and makefile explain, we are interested to see it

本文完成了对唇动身份识别技术几个基本问题的理论研究,并对整个系统加以实现.作为本文研究的实验基础,我们建立了唇动方式身份识别数据库(HITLUDB), 该库目前包含30个说话人每人20个汉语词的音视频语料.数据库的扩充与完善工作仍在不断的进行之中.在嘴唇检测方面, 我们对自适应色度过滤模型进行改进,提高了算法的鲁棒性,完成了对嘴唇的精确定位.结合DCT变换与K-L变换的各自特点, 我们提出了特征提取算法,使用较少维数的特征完成了对嘴唇区域主要信息的刻画.由于唇动信息同时包含了生理特征与行为特征, 我们使用静念动念混合建模的方式,完成了对说话人唇动个性特点的精确描述.在HMM训练时,我们提出了特征的归一化处理方法,提高了HMM在实际应用中的性能. 最后,我们分别对身份辨认系统与身份确认系统的基本理论进行了叙述,并完成了系统的实践工作. 关　 键　 词：身份识别 唇动 特征提取 隐马尔可夫模型 K-L变换 -paper completed the lip movements identification technology several basic issues of theoretical study, system as a whole be achieved. As this paper, the experimental basis, We have established a dynamic manner lip identification database (HITLUDB) The library currently contains 30 words each of 20 Chinese words, sound and video corpus. and the expansion of the database is still perfect keep going on. Detection of the lips, we adaptive color filter model improvements, improve the robustness of the algorithm, completed a pair of lips the precise positioning. DCT combined with

数字信号处理的程序集合之三，饱含数字信号处理的各种算法，是可以帮助学习信号处理的好东西-Digital signal processing procedures for the collection of three, full of a variety of digital signal processing algorithms, is the signal processing can help to learn good things