RESOLUTION AND NOISE IN FOURIER SPECTROSCOPY,

Abstract

The dependence of resolution on both noise and instrumental factors is stressed. The statistical decision theory approach of Harris is used in the spectroscopic problem treated by Kozlov, and the probability of correct decision between two possible spectra is expressed as a function of the ratio of the quadratic content of the difference between the spectra to the noise. The results are applied to Fourier spectroscopy, where in addition to instrumental factors considered by Kozlov finite line widths are taken into account. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1967
Accession Number
AD0668525

Entities

People

  • Nathan Jacobi

Organizations

  • Weizmann Institute of Science

Tags

DTIC Thesaurus Topics

  • Data Science
  • Decision Theory
  • Fourier Spectroscopy
  • Information Science
  • Mathematics
  • Probability
  • Spectra
  • Spectroscopy
  • Statistical Decision Theory

Readers

  • Mathematical Modeling and Probability Theory.
  • Spectroscopy.
  • Wave Propagation and Nonlinear Chaotic Dynamics.