Discussion by Walter Liggett

  • Eric D. Feigelson
  • G. Jogesh Babu


The authors summarize what has been inferred about the physics of binary stars through a variety of statistical signal processing techniques. They affirm certain aspects of the most widely accepted model for accreting binary stars, conclude that clumps of matter must accrete at more than 400 per second, and point to aspects of the observed x-ray intensities that seem unexplained. As I read the paper, I wished for a more integrated summary of the signal processing results that would be more likely to suggest modifications of the accepted physical model. If such a summary were possible, it would involve both physical insight into what to look for and statistical insight into the performance of signal processing techniques. The purpose of this discussion is to consider this challenge.


Beat Frequency Binary Star Signal Processing Technique Gaussian Random Process Quasiperiodic Oscillation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Donoho, D. L. On minimum entropy deconvolution. In D. F. Findley, editor, Applied Time Series Analysis II, page 565, Academic Press. New York, 1981.Google Scholar
  2. Donoho, D. L. Surprising nonlinear phenomena in recovery of signals, images, fields. Abstract in The IMS Bulletin, 20:161, 1991.Google Scholar
  3. Lamb, F. K., Shibazaki, N., Alpar, M. A., and Shaham, J. Quasi-periodic oscillations in bright galactic bulge x-ray sources. Nature, 317:681. 1985.ADSCrossRefGoogle Scholar
  4. Lii, K. S. and Rosenblatt, M. Non-Gaussian linear processes, phase and deconvolution. In E. J. Wegman and J. G. Smith, editors, Statistical Signal Processing, p. 51, Marcel Dekker, New York, 1984.Google Scholar
  5. Wegman, E. J. and Smith, J. G. editors, Statistical Signal Processing, Marcel Dekker, New York, 1984.MATHGoogle Scholar

Copyright information

© Springer-Verlag New York, Inc. 1992

Authors and Affiliations

  • Eric D. Feigelson
    • 1
  • G. Jogesh Babu
    • 2
  1. 1.Department of Astronomy and AstrophysicsPennsylvania State UniversityUSA
  2. 2.Department of StatisticsPennsylvania State UniversityUSA

Personalised recommendations