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Cap04_Introduction-to-Multipath
This file is the programs of (chapter 4) of book (Modeling the Wireless Propagation Channel a Simulation Approach with MATLAB) which is related to introduction to multipath. It helps you to simulate multipath wireless channel.
- 2013-10-15 23:07:00下载
- 积分:1
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2W
说明: 这是一篇关于移动机器人路径规划方面的资料。很好的(This is a mobile robot path planning. Good)
- 2012-12-02 22:24:38下载
- 积分:1
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AF_Simulation
协作通信中,运用放大转发的误码率分析。运用最大比合并(Collaborative communication, the use of forward error rate analysis of amplification. The use of maximum ratio combining)
- 2011-08-05 19:33:35下载
- 积分:1
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kalman_filter
非常好用的卡尔曼滤波程序,里边还有一个word文档说明,希望对大家有帮助(Is very nice of kalman filtering program, containing a word document, I hope it can help you
)
- 2015-01-28 09:44:02下载
- 积分:1
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Music
说明: MUSIC APES等算法,根据现代信号处理及应用这本书上算法进行仿真(Music apes and other algorithms are simulated according to the algorithms in the book of modern signal processing and application)
- 2019-11-13 22:10:53下载
- 积分:1
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matlab
最新matlab时频工具箱,对处理时频信号必不可少(The latest time-frequency toolbox matlab to deal with essential time-frequency signal)
- 2008-05-08 20:56:40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.
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- 2011-06-25 17:20:11下载
- 积分:1
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16QAM
对语音信号进行16QAM调制解调画星座图(The speech signal constellation 16QAM modulation and demodulation Videos)
- 2021-01-25 19:18:44下载
- 积分:1
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1144
色散介质的FDTD仿真计算,一维辅助微分方法(FDTD )
- 2015-04-11 16:23:22下载
- 积分:1
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cs
说明: 压缩感知的例子。重建是用在稀疏域上求最小零范数的方法。首先把零范数凸松弛为一范数,然后变成线性规划问题,从而求得最优解。(An example of the compressive sensing. Its reconstruction is based on L0-norm minimization.)
- 2018-01-28 03:58:27下载
- 积分:1