Research on Algorithm for Blind Source Separation Based on Negentropy Maximization

Bo Qiu Sun; Zuo Xi Tian

doi:10.4028/www.scientific.net/AMM.427-429.1911

Paper Titles

Improved Isomap Algorithm Based on Supervision
p.1896

Improved LLE Algorithm Based on Supervision
p.1900

Study on Driver's Unsafe Gaze Behavior Detection Technology
p.1903

A Comprehensive Evaluation System of Association Rules Based on AHP
p.1907

Research on Algorithm for Blind Source Separation Based on Negentropy Maximization
p.1911

A Probabilistic Propositional Logic System is an Event Semantics for Classical Formal System of Propositional Calculus
p.1917

Research on the Satisficing Policy of the Secretary Problem
p.1924

Effect of Several Parameters on Pitch Perception of Unresolved Harmonics
p.1928

Improved Particle Swarm Optimization Algorithm and its Application Based on the Aggregation Degree
p.1934

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Research on Algorithm for Blind Source Separation...

Research on Algorithm for Blind Source Separation Based on Negentropy Maximization

Abstract:

To detect week signal of underwater magnetic fields, we designed a negentropy maximization blind source separation algorithm based on the stochastic gradient descent algorithm by bring in a penalty factor. The simulation study demonstrates that the new algorithm is effective to separate the mixed-signal with high precision, to decrease the iterative calculation and to enhance the convergence rate.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1911-1916

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1911

Citation:

Cite this paper

Online since:

September 2013

Authors:

Bo Qiu Sun*, Zuo Xi Tian

Keywords:

Blind Source Separation, Negentropy Maximization, Signal Processing, Weak Signal Detection

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Ju Liu and Zhenya He. Blind Source Separation and Blind Deconvolution [J]. Chinese Journal of Electronics. 2002, 30(4): 570-576P.

Google Scholar

[2] P. Comon. Independent Component analysis, a new concept Signal Processing. 1994, 36(3): 287-314P.

DOI: 10.1016/0165-1684(94)90029-9

Google Scholar

[3] Aapo Hyvarinen and E. Oja. A Fastfixed-Point Algorithm for Independent Component Analysis [J]. Neural Computation. 1997, 9(7): 1483-1492P.

Google Scholar

[4] Joho M, Rahbar K. Joint Diagonalization of Correlation Matrices by Using Newton Methods with Application to Blind Signal Separation, SAM 2002, 2002. available http: /www. phonak. uiuc. edu.

DOI: 10.1109/sam.2002.1191070

Google Scholar

[5] Aapo Hyvarinen. Fast and robust fixed-point algorithm for independent component analysis [J]. IEEE Transactions on Neural Networks. 1999, 10(3): 626-634P.

DOI: 10.1109/72.761722

Google Scholar