A foundation for logarithmic measures of fluctuating intensity in pattern recognition.

@article{Makris1995AFF,
  title={A foundation for logarithmic measures of fluctuating intensity in pattern recognition.},
  author={Nicholas C. Makris},
  journal={Optics letters},
  year={1995},
  volume={20 19},
  pages={2012-4}
}
Independent analyses using Fisher information, optimal filtering, and information theory show that matched filtering images with hypothetical patterns in the logarithmic domain provides an optimal method for pattern recognition in the presence of signal-dependent noise arising from complex Gaussian fluctuations in the received fields. This provides a mathematical justification for the use of logarithmic units (i.e., decibels) in a variety of engineering applications. 

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-4 of 4 references

Fundamental of Statistical Signal Processing: Estimation Theory (Prentice-Hall, Englewood Cliffs, N.J., 1993), Chaps

  • S. M. Kay
  • 1993
Highly Influential
4 Excerpts

Statistical Optics (Wiley

  • J. W. Goodman
  • New York,
  • 1985
1 Excerpt

Ryshik, Tables of Integrals, Series and Products (Academic

  • I.M.I.S. Gradshteyn
  • San Diego, Calif.,
  • 1980
1 Excerpt

Linear Statistical Inference and Its Applications (Wiley

  • C. R. Rao
  • New York,
  • 1966
1 Excerpt

Similar Papers

Loading similar papers…