936991729Handwriting-recognition

Line Iterator implements Iterator Source Code for Andriod.

vector command spwm of pmsg

数据库编程，生日管理系统，有增加、删除、修改、更新的功能，在VC6.0上可以运行，使用MFC编程！(Database programming, birthdays management system)

模拟ftp服务器, 是学习windows编程上乘的选择-simulation ftp server is studying windows programming experience the choice

Phase Shift Migration Plus Interpolation .for those who are interesting in seismic processing.enjoy it

一个把自己的东西刻成光盘后自动查询和启动的原代码(one their own things statue CD automatically initiated inquiries and the original code)

说明：  传输ofdm数据，采用了简单的多径信道，实现水下通信，整体程序还可以，可以参考参考(In order to transmit OFDM data, a simple multi-path channel is used to realize underwater communication. The overall program can also be used for reference)

为什么要学习F＃？这多范例语言不仅使您能够通过函数式编程的巨大生产力的推动，它也可以让你养成使用现有的面向对象和命令式编程技巧的应用。编程F＃，你很快就会发现微软的新的语言，其中包括访问所有伟大的工具和.NET platofrm图书馆的许多优点。 了解如何获得函数式编程的好处为您的下一个项目 - 无论是定量计算，大规模数据的探索，甚至是追求自己的。有了这个全面的指导，F＃的前团队成员克里斯·史密斯为您提供了基本面和F＃语言的先进理念的一个良好的开端。(Why learn F#? This multiparadigm language not only offers you an enormous productivity boost through functional programming, it also lets you develop applications using your existing object-oriented and imperative programming skills. With Programming F#, you ll quickly discover the many advantages of Microsoft s new language, which includes access to all the great tools and libraries of the .NET platofrm. Learn how to reap the benefits of functional programming for your next project- whether it s quantitative computing, large-scale data exploration, or even a pursuit of your own. With this comprehensive guide, F# former team member Chris Smith gives you a head start of the fundamentals and advanced concepts of the F# language.)

How to use Ribbon components

1.用matlab实现对一个元音和一个清辅音的LPC系数，LPCC系数和MFCC系数的提取。 2，用LPC对这两个语音信号的功率谱进行估计，其中，LPC系数要分别有5阶，10阶，15阶和20阶四种情况，并在一个图里画出信号本身的FFT功率谱和四条不同阶数的LPC谱估计图，以作比较。注意，LPC和LPCC只考察自相关法。 3，用对数面积比的方法来求出这两个发音的变截面声管模拟图形，10阶即可(Using matlab to achieve the LPC coefficients of a vowel and a voiceless consonant, the extraction of LPCC Features coefficients and MFCC coefficients. LPC both the speech signal power spectrum estimate, which, LPC coefficients, respectively, five bands, 10 bands, 15 bands and 20 the first four cases, and draw a graph of the FFT power of the signal itself spectrum and four different orders of LPC spectral estimation map, for comparison. LPC and LPCC only examine the autocorrelation method. 3, the number of area ratio method to calculate the variable cross-section of the two pronunciation sound tube simulation graphics, 10 bands can be)