Accession Number:

ADA256185

Title:

Bayesian Interpolation and Deconvolution

Descriptive Note:

Final rept. Feb 1991-Jan 1992

Corporate Author:

WASHINGTON UNIV ST LOUIS MO DEPT OF CHEMISTRY

Personal Author(s):

Report Date:

1992-07-01

Pagination or Media Count:

50.0

Abstract:

The deconvolution problem is addressed in stages beginning with the interpolation problem when little prior information is available and proceeding to the full deconvolution problem when a great deal of prior information is available. The results of these calculations indicate that good solutions to the deconvolution program are available even when limited prior information is available and that these results overlap those obtained when a great deal of prior information is available. The difference between them is that the use of uninformative priors causes large uncertainties in the estimated signal, while highly informative priors decreases the uncertainties in the signal.

Subject Categories:

  • Theoretical Mathematics
  • Statistics and Probability
  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE