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Error-control-coding-using-matlab
A Book published in 2010 on error control coding using matlab(A practical guide to error-control coding using matlab)
- 2011-06-22 15:23:01下载
- 积分:1
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Matlab-Fig
matlab图形界面设计总结,希望对大家有所帮助(matlab GUI design summary, we want to help)
- 2011-10-06 19:34:03下载
- 积分:1
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array-synthesis
四种天线阵列加权分布。泰勒分布、二项式分布、傅里叶分布、切比雪夫分布。(Four kinds of antenna array weighted distribution.Taylor distribution, binomial, Fourier, chebyshev distribution.)
- 2015-05-09 11:51:42下载
- 积分:1
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chengxu1
说明: 用模拟退火算法解决tsp问题,适合初学者(With the simulated annealing algorithm to solve the problem tsp
)
- 2011-04-15 09:57:30下载
- 积分:1
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Matlab_Image_Processing
使用matlab进行数字图像处理的几个小例子。其中实验三为基于BP神经网络进行字符识别(matlab_Image_Processing)
- 2010-07-06 20:13:05下载
- 积分:1
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Heat_Equation
这个函数求热传导方程初值问题的解,以输入图像为初始值,输出图像为t时刻的解,输出图像被用来作为去噪的结果(This function for heat conduction equations of the solution of the initial boundary value problems, with input image for the initial value, output image of the solution of the moment for t, output image to be used as a result of the noise
)
- 2011-09-26 20:33:35下载
- 积分:1
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fit_mix_2D_gaussian
fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm
format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M )
input: X - input samples, Nx2 vector
M - number of gaussians which are assumed to compose the distribution
output: u - fitted mean for each gaussian (each mean is a 2x1 vector)
covar - fitted covariance for each gaussian. this is a 2x2xM matrix.
t - probability of each gaussian in the complete distribution
iter - number of iterations done by the function
- 2011-02-09 19:04:25下载
- 积分:1
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BPSK_flat_fading_BER
BPSK with flat fading effects
- 2009-05-21 17:55:51下载
- 积分:1
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Investigation_on_Model_Selection_Criteria_for_Spe
Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.
- 2010-06-23 03:07:11下载
- 积分:1
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OFDM
用MATLAB实现OFDM系统加循环前缀后的实现方法(OFDM Systems with MATLAB add cyclic prefix to achieve after the Implementation)
- 2010-11-21 10:01:27下载
- 积分:1