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Sstrapdownt
捷联惯性导航解算程序,内附实实测数据与说明文档可直接使用。
(Strapdown Inertial Navigation solver, included the actual measured data and documentation can be used directly.)
- 2012-07-26 14:37:01下载
- 积分:1
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uniform-circular
均匀圆阵部分阵元失效情况下的DOA估计方法(Part of uniform circular array element failure in case of DOA Estimation)
- 2013-12-26 12:47:54下载
- 积分:1
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20084WANGGONG
说明: 2008年4月网工真题.doc 对各位考生有很大的帮助,希望各位考上(April 2008 Network Engineering 真题. Doc candidates of you very helpful, hope you admitted to)
- 2010-04-25 10:31:52下载
- 积分:1
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1222
这个小软件可以做到软件内的网页跟随软件变大变小(新手)(In software s homepage followed software fill-out changes small (novice) )
- 2010-03-02 16:54:38下载
- 积分:1
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color_line
matlab code for lines big lines little lines lines too
- 2013-03-28 03:43:03下载
- 积分:1
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cma
光纤信道盲均衡CMA算法,MATLAB开发环境,比较通用的一种算法(Fibre Channel CMA blind equalization algorithms, MATLAB development environment, more generic algorithm)
- 2014-11-23 08:50:11下载
- 积分:1
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Proficient-in-Matlab-and-C-CPP-V2
matlab与VC++混合调用的经典教程(Classic tutorial matlab mixed with VC++ call)
- 2015-03-02 10:19:14下载
- 积分:1
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Matlab-and-C-CPP-mixed-programming
Matlab 和C C++ 混合编程
刘维编著(Matlab and C C++ mixture programming)
- 2013-09-09 20:53:41下载
- 积分:1
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matlaberrorfunction
Matlab中erf(x)函数的表达式是怎样的,erf(x)与标准正态分布函数之间的关系是怎样的,怎样自己编制一个计算标准正态分布函数数值近似值的函数,如何利用matlab自带的erf(x)函数包近似计算标准正态分布函数的值,数值计算值与用erf(x)转化求得的值之间的相对误差是怎样的。(将中文译成英语
Matlab, erf (x) function expression is what, erf (x) the standard normal distribution function and the relationship between what and how to prepare their own calculation of the standard normal distribution function a value function approximation, how to use matlab comes with erf (x) function package approximate standard normal distribution function values??, numerical values ??and with erf (x) between the values ??obtained into the relative error is like.
)
- 2011-06-25 17:20:11下载
- 积分:1
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Hidden_Markov_model_for_automatic_speech_recogniti
Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
- 2007-10-26 19:01:21下载
- 积分:1