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Geodeticx
Geodetic Transformations Toolbox
- 2013-01-05 04:10:27下载
- 积分:1
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mimo-ofdm-matlab
mimo ofdm matlab file
- 2011-11-19 15:20:28下载
- 积分:1
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Fading-channel-simulation
衰落信道仿真
function r = rayleigh( fd, fs, Ns )
r = rayleigh(fd,fs,N)
A Rayleigh fading simulator based on Clarke s Model
Creates a Rayleigh random process with PSD determined
by the vehicle s speed.
INPUTS:
fd = doppler frequency
set fd = v*cos(theta)/lambda
v = velocity (meters per second)
lambda = carrier wavelength (meters)
theta = angle w/ respect to tangent (radians).
fs = sample frequency (Samples per second)
Ns = number of samples of the Rayleigh fading
process to produce
OUTPUTS:
r = row vector containing Ns samples of the Rayleigh
fading process
Author: Matthew C. Valenti
Mobile and Portable Radio Research Group
Virginia Tech
For Academic Use Only
(Fading channel simulation)
- 2012-04-19 20:13:22下载
- 积分:1
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GettingStartedwithexampleswritteninMATLAB
使用MATLAB编写的入门实例,这是一款很简单易懂的程序,欢迎大家看看(Getting Started with examples written in MATLAB, which is a very straightforward procedure, please take a look)
- 2010-10-07 16:23:16下载
- 积分:1
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tool_v01_02
Matlab toolbox where many filter are realised
- 2010-11-20 08:02:58下载
- 积分:1
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boundsearch
边缘检测,很实用的,在MATLAB6.0环境下调试使用过
(bound search)
- 2010-12-28 20:19:55下载
- 积分:1
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codes
这是《MIMO-OFDM Wireless Communications with MATLAB》书中的源程序,这本书是关于MIMO-OFDM的新书,非常有用啊.备注:转载于http://download.csdn.net/source/3248044(This is the " MIMO-OFDM Wireless Communications with MATLAB" source book, this book is a new book on MIMO-OFDM is very useful to ah. Note: reproduced in http://download.csdn.net/source/3248044)
- 2011-05-06 10:33:35下载
- 积分:1
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matlab-signal-processing-examples
提供matlab信号处理的几个典型示例,含系统响应、傅里叶变换、滤波器设计等(signal processing examples using matlab)
- 2013-07-24 15:59:40下载
- 积分:1
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g
说明: 在用广义预测控制的基础上,加入了相位补偿,使得得到的结果更精确。(Based on generalized predictive control with on, joined the phase compensation, which makes the results more accurate.)
- 2015-02-25 17:06:17下载
- 积分:1
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AP
说明: 对数值进行分析,AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同,AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的"examplars"即聚类中心点是数据集合中实际存在的点,作为每类的代表(For numerical analysis, AP clustering algorithm is based on the "information transfer" between data points. Unlike k-means algorithm or k-center algorithm, AP algorithm does not need to determine the number of clusters before running the algorithm. The "examples" searched by AP algorithm is the actual points in the data set as the representative of each class)
- 2021-01-07 11:03:26下载
- 积分:1