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leaves-bass-algorithm
这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。(This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian noise model and additives. The solution to the problem of is ML-II inference, namely of the integration of resources and noise source in found that after the covariance matrices and mixed the maximization of marginal likelihood. Sufficient statistics estimate of the mean field or variational theory and linear response correction or through the adaptive average field theory faucet. Average field equations are solved belief propagation method or continuous iteration.)
- 2012-04-11 16:00:09下载
- 积分：1
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svmplot
支持向量机的画图程序。能够很好的将识别到的不同类型分量，可视化。(Support vector machine (SVM) drawing program. Can very good will to identify the different types of component, visualization.
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- 2012-12-04 09:56:11下载
- 积分：1
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一个有效地盲去模糊的算法
这是一个相当有效地盲去模糊算法，具体有效程度大家可直接浏览作者的个人主页来了解，或者直接运行程序验证。本人得到的结果是程序可以使图像处理效果提高PSNR的1.3左右。
- 2022-08-26 00:30:18下载
- 积分：1
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manifold
一个Matlab环境下编写的流行学习（manifold)算法，可用于图像特征提取及行为模式提取(Matlab environment to prepare a prevalence study (manifold) algorithm, can be used for image feature extraction and pattern extraction)
- 2009-06-29 16:37:29下载
- 积分：1
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offset_estim
This function implies carrier and sampling frequency offset estimation
- 2009-06-29 19:41:02下载
- 积分：1
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main
make the simple game of life.
it only uses 50 X 50 size of point and time limited system.
- 2010-02-10 16:11:28下载
- 积分：1
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M-call-C
混合编程时，M文件中调用C语言函数，精通matlab编程一书的例程，希望有帮助。(mixed programming, the paper called M C language function, proficient Matlab programming routines in a book. hope it helps.)
- 2007-03-27 16:11:32下载
- 积分：1
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demodulator
Demodulation of OFDMA.
- 2015-03-12 13:50:07下载
- 积分：1
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两种经典信号盲分离算法比较
基于负熵和基于峭度的算法的相似系数和信干比相差不多，都能很好地实现信号的盲分离。基于峭度的FastICA算法的收敛速度要快，迭代次数比基于负熵的FastICA算法少四倍以上。从分离时间也可以看出基于峭度的算法比基于负熵的算法快将近四倍。SIR随信噪比增大的结果图可以看出存在高斯噪声时，基于峭度的FastICA算法的SIR略高于基于负熵的算法，最大相差1dB。SMSE随信噪比增大两种判据下的FastICA算法都逐渐变小，但是基于峭度的算法的SMSE更小，一般相差0.2左右。综上可知，基于峭度的FastICA算法性能要优于基于负熵的FastICA算法。
- 2022-05-24 06:08:49下载
- 积分：1
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ss
说明： Source code for subsampling
- 2010-12-29 13:18:13下载
- 积分：1
