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Home Projects Software ICA02
SOFTWARE IMPLEMENTATIONS:
 ICA BETA DIVERGENCE

General Description

This software implementation included here is related to our paper presented at a conference [GaKi06]. This paper presents a Matlab implementation of the β-divergence for blind source separation algorithm by Mihoko and Eguchi [MiEg02].

The implementation uses a quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimization, combined with an Armijo conditioned line-search, to minimize the β-divergence between the density of the source estimates and the product of its hypothesized marginal densities to separate a mixture of statistically independent sources.

In addition, the implementation repeats simulations conducted by Mihoko and Eguchi, and uses the Amari separation performance index to provide a quantitative separation performance.

This zip file contains the Matlab code used to generate the results for the paper.

References

[Fish04]
J. Fisher. ICA data (Online as of February 13, 2004)
http://www.ai.mit.edu/people/fisher/ica_data/
[GaKi06]
N. Gadhok and W. Kinsner, "An implementation of beta-divergence for blind source separation", in Proc. IEEE 2006 Canadian Conference on Electrical and Computer Engineering, CCECE06 (Ottawa, Ontario; May 7-10, 2006) pp. 643-646 (4 pp.), 2006.
[MiEg02]
M. Mihoko and S. Eguchi, "Robust blind source separation by beta divergence," Neural Computation, vol. 14, pp. 1859-1886, 2002.

Code Description

File Name

CCECE06_ICA_Beta_v10.zip
(Contains 25 .m files and 2 subdirectories)

Version

1.0

Subdirectories

  • Fisher_Data (6 .m files, 4 subdirectories, 3 html files)
  • genHyper_v1.1 (1 .m file, 1 .f90 file, 1 .mexglx file, and 1 readme)

Notes

  1. Internal Versions: Each .m file has a version listed with the file.
  2. BetaD_Caller_DataSet1_Iterative.m,
    BetaD_Caller_DataSet2_Iterative.m, and
    BetaD_Caller_DataSet3_Iterative.m are the primary caller programs for generating the results contained in [GaKi06].
  3. A number of included .m files are used to generate plots similar to [MiEg02], but were not published in [GaKi06].
  4. Synthetic ICA data generated by J. Fisher is included in the zip file [Fish04]. This is the same data used in [MiEg02].

Feedback

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Legal Notes

  1. This software is provided for research purposes only.
  2. No commercial use in any form is permitted.
  3. WE MAKE NO WARRANTIES, EITHER EXPRESS OR IMPLIED, REGARDING THE ENCLOSED COMPUTER SOFTWARE PACKAGE.

Code Downloading

Unzip the file after downloading.

  • CCECE06_ICA_Beta_v10.zip (zip; 10.890 MB)

    • [Small Logo] Thanks for the visit. Your suggestions and questions are always welcome (v.1.75)
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