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Applied Optics

Applied Optics


  • Vol. 38, Iss. 7 — Mar. 1, 1999
  • pp: 1115–1126

Discrimination of optical sources by use of adaptive blind source separation theory

Ivica Kopriva and Antun Peršin  »View Author Affiliations

Applied Optics, Vol. 38, Issue 7, pp. 1115-1126 (1999)

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Optical systems based on rotating reticles were invented to determine the polar coordinates of a primarily IR optical source. Such systems fail when several optical sources are present in their field of view simultaneously. It is demonstrated experimentally that this drawback can be overcome by the application of a blind-signal-separation algorithm on the output signals of a modified optical system. The separation of the modified optical system responses into independent components yields modulating functions that carry information concerning the polar coordinates of the corresponding single optical sources.

© 1999 Optical Society of America

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(070.6110) Fourier optics and signal processing : Spatial filtering
(230.6080) Optical devices : Sources
(230.6120) Optical devices : Spatial light modulators

Original Manuscript: August 4, 1998
Revised Manuscript: November 2, 1998
Published: March 1, 1999

Ivica Kopriva and Antun Peršin, "Discrimination of optical sources by use of adaptive blind source separation theory," Appl. Opt. 38, 1115-1126 (1999)

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  1. R. D. Hudson, “Optical modulation,” in Infrared System Engineering (Wiley, New York, 1969), Chap. 6, pp. 235–263.
  2. G. F. Aroyan, “The technique of spatial filtering,” Proc. Inst. Radio Eng. 47, 1561–1568 (1959).
  3. T. B. Buttweiler, “Optimum modulation characteristics for amplitude-modulated and frequency-modulated infrared systems,” J. Opt. Soc. Am. 51, 1011–1015 (1961). [CrossRef]
  4. A. F. Nicholson, “Error signals and discrimination in optical trackers that see several sources,” Proc. IEEE 53, 56–71 (1965). [CrossRef]
  5. H. Taub, D. L. Schilling, “Frequency-modulation systems,” in Principles of Communication Systems (McGraw-Hill, New York, 1987), Chap. 4, pp. 142–182.
  6. J. Singh, “Optoelectronic detectors,” in Semiconductor Optoelectronics—Physics and Technology (McGraw-Hill, New York, 1995), Chap. 7, pp. 336–398.
  7. X. R. Cao, R. W. Liu, “General approach to blind source separation,” IEEE Trans. Signal Process. 44, 562–571 (1996). [CrossRef]
  8. K. Torkkola, “Blind separation of convolved sources based on information maximization,” in IEEE Workshop on Neural Networks for Signal Processing, Kyoto, Japan, 4–6 September, 1996 (Institute of Electrical and Electronics Engineers, New York, 1996).
  9. D. Yellin, E. Weinstein, “Criteria for multichannel signal separation,” IEEE Trans. Signal Process. 42, 2158–2168 (1994). [CrossRef]
  10. D. Yellin, E. Weinstein, “Multichannel signal separation: methods and analysis,” IEEE Trans. Signal Process. 44, 106–118 (1996). [CrossRef]
  11. J. Wang, H. Zhenya, “Blind identification and separation of convolutively mixed independent sources,” IEEE Trans. Aerospace Electron. Syst. 33, 997–1002 (1997). [CrossRef]
  12. D. R. Brillinger, “Foundations,” in Time Series Data Analysis and Theory (McGraw-Hill, New York, 1981), Chap. 2, pp. 16–44.
  13. J. M. Mendel, “Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications,” Proc. IEEE 79, 278–305 (1991). [CrossRef]
  14. P. McCullagh, “Elementary theory of cumulants,” in Tensor Methods in Statistics (Chapman & Hall, London, 1987, 1995), Chap. 2, pp. 24–46.
  15. E. Weinstein, A. V. Oppenheim, M. Feder, J. R. Buck, “Iterative and sequential algorithms for multisensor signal enhancement,” IEEE Trans. Signal Process. 42, 846–859 (1994). [CrossRef]
  16. S. Van Gerven, D. Van Compernolle, “Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniqueness,” IEEE Trans. Signal Process. 43, 1602–1612 (1995). [CrossRef]
  17. H. L. Nguyen Thi, C. Jutten, J. Caelen, “Speech enhancement: analysis and comparison of methods on various real situations,” in Signal Processing VI: Theories and Applications, J. Vandewalle, R. Boite, A. Oosterlick, eds. (Elsevier, New York, 1992), pp. 303–306.
  18. A. J. Bell, T. J. Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput. 7, 1129–1159 (1995). [CrossRef] [PubMed]
  19. P. Common, “Independent component analysis, a new concept?” Signal Process. 36, 287–314 (1994). [CrossRef]
  20. E. Sorouchyari, “Blind separation of sources, Part III: Stability analysis,” Signal Process. 24, 21–29 (1991). [CrossRef]
  21. P. J. Smaragdis, “Blind separation of convolved mixtures in the frequency domain,” in International Workshop on Independency and Artificial Neural Networks, Tenerife, Spain, 9–10 February, 1998 (University of Laguna, Tenerife, Spain, 1998).

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