LINEAR VECTOR SPACE THEORY OF UNFOLDING,

Abstract

The problem of unfolding a spectrum is treated by the methods of linear vector space theory. For a system with a finite number of measurements consisting of the outputs from detectors with known responses, some part of the unknown spectrum cannot be inferred. One may approximate the unknown spectrum with a finite expansion in terms of some arbitrary set of functions w sub n (E). The relationships between the various solutions obtained by using different sets of w sub n (E) functions are explored, and it is shown that the solution obtained by allowing the w sub n (E) to be the response functions themselves displays some unique and desirable properties. Among these properties is an insensitivity to small errors in the measured outputs from the detectors and in the analytic response functions used to describe the true detector responses. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1969
Accession Number
AD0696480

Entities

People

  • Clyde A. Morrison
  • Donald E. Wortman
  • Nick Karayianis

Organizations

  • Harry Diamond Laboratories

Tags

DTIC Thesaurus Topics

  • Detectors
  • Measurement
  • Spectra
  • Vector Spaces
  • Warning Systems

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Space