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MIMO-OFDM
说明： 在awagn噪声下实现lms信道估计算法，以及我的算法改进。(Lms in awagn noise to achieve channel estimation algorithm, as well as improving my algorithm.)
- 2011-03-08 10:29:54下载
- 积分：1
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GUI
用MATLAB编写的几个简单的GUI案例(Prepared using MATLAB few simple GUI Case)
- 2013-04-21 14:26:44下载
- 积分：1
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Genetic-annealing
Genetic annealing evolutionary algorithm
- 2011-12-09 22:09:29下载
- 积分：1
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06480907
WINDTURBINE DFIG STATCOM
- 2014-01-27 10:36:01下载
- 积分：1
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walker
WALKER Human gait.
This model, developed by Nikolaus Troje, is a five-term Fourier series
with vector-valued coefficients that are the principal components for
data obtained in motion capture experiments involving subjects wearing
reflective markers walking on a treadmill. The components, which are
also known as "postures" or "eigenwalkers", correspond to the static
position, forward motion, sideways sway, and two hopping/bouncing
movements that differ in the phase relationship between the upper and
lower portions of the body. The postures are also classified by gender.
Sliders allow you to vary the amount that each component contributes to
the overall motion. A slider setting greater than 1.0 overemphasizes
the characteristic. Can you see whether positive values of the gender
coefficient correspond to male or female subjects?
- 2010-11-16 14:38:16下载
- 积分：1
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4pl4-ps5
Power System solution5
- 2013-01-11 10:06:23下载
- 积分：1
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BlockMPEG
motionComp.m 运动补偿算法
imgPSNR.m 图像的PSNR (motionComp.m motion compensation algorithm imgPSNR.m image PSNR)
- 2007-04-24 17:14:33下载
- 积分：1
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OFDM-QPSK-16QAM-
仿真模拟了OFDM系统及QPSK 16QAM在高斯 瑞利和多径信道下的表现，并附有在独立衰落信道下的均衡器性能分析。(Simulation and QPSK 16QAM OFDM systems performance at Gaussian，Rayleigh and multi-path channel, along with independent channel fading equalizer performance analysis under.)
- 2015-11-27 22:15:36下载
- 积分：1
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39709552PMSM
pmsm的矢量控制模型，喜欢的可以下载看看，不完善的地方欢迎大家讨论
- 2010-02-28 15:39:49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
