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GPstuff
Gaussian process models for Bayesian analysis (for Matlab) V1.1.0(GPstuff toolbox is a collection of Matlab functions for Bayesian inference with Gaussian process models.The toolbox contains some of the recent developments in sparse Gaussian processes and in approximate inference.)
- 2009-05-16 10:29:00下载
- 积分:1
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bupatest
说明: 用matlab编写的bupatest程序,希望对大家有所帮助(Prepared using matlab bupatest procedures, we want to help)
- 2010-04-05 15:10:53下载
- 积分:1
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RF_Toolbox29_win32
rf system matlab tool box 2
- 2012-08-14 14:52:05下载
- 积分:1
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bilinerQuard
bilinearquard在matlab中的实现 matlab有限元分析 源程序(bilinearquard implementation in matlab matlab source Finite Element Analysis)
- 2013-11-11 13:46:44下载
- 积分:1
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buckboost3
SPEED CONTROL OF DC MOTOR
- 2013-11-18 23:16:57下载
- 积分:1
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clustering
图像分割算法之间的比较,比较前沿的放发,利用了kmeans和模糊K均值(Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans)
- 2009-05-17 13:00:42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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MEDIANAJESUSEDUARDOORTIZ
Calculate the median value of a vector.
- 2011-09-13 08:43:40下载
- 积分:1
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MATLAB-Script-of-the-Generalized-Water-Filling-(G
MATLAB Script of the Generalized Water Filling (GWF) Algorithm
- 2012-01-16 05:56:25下载
- 积分:1
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F_C
说明: 基于模拟退火算法的优化算法,用于搭配其它算法(贪心算法等)迭代使用,用于有现容量的Facility_Customer 最佳分配问题,使用时变量为设备容量,设备成本,用户距离,用户需求。降温指数为0.96,降温次数为200,迭代次数为200。(The optimization algorithm based on the simulated annealing algorithm is used in combination with other algorithms (greedy algorithm, etc.) for iterative use. It is used for the optimal allocation of facility "customer with existing capacity. The variables used are equipment capacity, equipment cost, user distance and user demand. The cooling index is 0.96, the number of cooling is 200, and the number of iterations is 200.)
- 2020-04-04 10:50:12下载
- 积分:1