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rayleigh
瑞利衰落信道(Rayleigh fading channel)是一种无线电信号传播环境的统计模型。这种模型假设信号通过无线信道之后,其信号幅度是随机的,即“衰落”,并且其包络服从瑞利分布。(Rayleigh fading channel (Rayleigh fading channel) is a radio signal propagation environment, the statistical model. The model assumed that after the signal through the wireless channel, the signal amplitude is random, that is, " fading" and subject to its Rayleigh distribution envelope.)
- 2009-05-11 09:58:40下载
- 积分:1
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Bluetooth_FM(matlab)
这是关于蓝牙跳频通信系统的仿真设计,利用MATLAB的SIMULINK仿真模型,分为跳频系统传输部分、FH-CPM Modulaor子系统、信号接受部分、FH-CPM Demulator子系统、Dis-assemble Packet子系统、频谱分析模块、误码分析模块共七个模块,共有6个MDL文件。(This is about the Bluetooth frequency hopping communication system simulation design, the use of MATLAB-SIMULINK simulation model is divided into frequency-hopping system transmission parts, FH-CPM Modulaor subsystem, signal receiving part, FH-CPM Demulator subsystem, Dis-assemble Packet sub- system, spectral analysis module, the error analysis module of seven modules, a total of six MDL file.
)
- 2010-12-02 16:09:46下载
- 积分:1
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442e6abc69b5d04460608d7ab3fdf616
请问下大家CC++如何实现感染可执行文件以及如何实现将一个exe文件镶嵌到另一个exe文件中
- 2010-02-12 01:34:37下载
- 积分:1
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Matlab
说明: 介绍matlab的安装以及基本功能的使用,对于初学者有很大的帮助。也叫matlab宝典。(Describes the basic functions of matlab installation and use of great help for beginners. Also called matlab Collection.)
- 2011-04-08 15:54:13下载
- 积分:1
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HJ
说明: samlple,HJ dtaaHJ反演气溶胶源(HJhjhj samlple,HJ dtaa samlple,HJ dtaa)
- 2014-12-06 23:22:09下载
- 积分:1
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chonggoumallat
小波谱分析mallat算法经典程序,可直接运行(Mallat algorithm for spectral analysis of small classical procedures, can be directly run)
- 2009-01-07 11:11:06下载
- 积分:1
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sigma32(MC)
说明: 用Monte Carlo方法,模拟E.coli中sigma32因子对热休克基因的调控机理,与文献吻合很好。(Monte Carlo simulation E.coli sigma32 factor on heat shock gene regulatory mechanism, good agreement with literature.)
- 2005-12-10 18:32:19下载
- 积分:1
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carfollowing_self
说明: 刺激反应跟驰模型matlab数值仿真及绘图代码(Matlab numerical simulation and drawing code of stimulus response following model)
- 2020-12-02 19:29:26下载
- 积分:1
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pca
Function to perform Principle Component Analysis over a set of training
vectors passed as a concatenated matrix.
Usage:- [V,D,M] = pca(X,n)
[V,D] = pca(X,aM,n)
where:-
<input>
X = concatenated set of column vectors
aM = assume that the mean is aM
n = number of principal components to extract (optional)
<output>
V = ensemble of column eigen-vectors
D = vector of eigen-values
M = mean of X (optional)
- 2013-07-09 15:06:40下载
- 积分:1
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sensorless-system
sensorless system circuit
- 2012-08-06 23:03:52下载
- 积分:1