Description: Joaquin Goñ i <jgoni@unav.es> &
Iñ igo Martincorena <imartincore@alumni.unav.es>
University of Navarra - Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
December 13th, 2007. Information Theory Toolbox v1.0
The Toolbox includes:
-entropy
-conditional entropy
-mutual information
-redundancy
-symmetric uncertainty
-Kullback-Leibler divergence
-Jensen-Shannon divergence
type help for each command to get a detailed description
Citation:
If you use them for your academic research work,please kindly cite this
toolbox as:
Joaquin Goñ i, Iñ igo Martincorena. Information Theory Toolbox v1.0.
University of Navarra - Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
-Joaquin Goñ i <jgoni@unav.es> &
Iñ igo Martincorena <imartincore@alumni.unav.es>
University of Navarra- Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
December 13th, 2007. Information Theory Toolbox v1.0
The Toolbox includes:
-entropy
-conditional entropy
-mutual information
-redundancy
-symmetric uncertainty
-Kullback-Leibler divergence
-Jensen-Shannon divergence
type help for each command to get a detailed description
Citation:
If you use them for your academic research work,please kindly cite this
toolbox as:
Joaquin Goñ i, Iñ igo Martincorena. Information Theory Toolbox v1.0.
University of Navarra- Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
Platform: |
Size: 16384 |
Author:le thanh tan |
Hits:
Description: Structured covariance estimation. The routine takes a covariance matrix as input and returns the Toeplitz matrix that lies closest to it, in the sense that it minimizes the Kullback-Leibler divergence between the two. Input must be a real, square, symmetric and positive semi-definite matrix. Platform: |
Size: 1024 |
Author:ruso |
Hits:
Description: 语音处理GMM相关算法,1.计算概率密度并画出高斯混合模型,2.计算边际,条件混合高斯密度,3估计两个GMM模型的Kullback-Leibler divergence。-GMM relating to speech processing algorithms.1,to calculate probability densities from or plot a Gaussian mixture model.2,marginal and conditional Gaussian mixture densities. 3, Kullback-Leibler divergence between two GMMs . Platform: |
Size: 21504 |
Author:王愈 |
Hits: