DETECTION AS CATASTROPHE: CATASTROPHE THEORY APPLIED TO DETECTING SIGNALS IN NOISE

Authors
  1. Lamb, D.J.
Corporate Authors
Operational Research and Analysis Establishment, Ottawa ONT (CAN) Directorate of Mathematics and Statistics
Abstract
The paper is speculative and suggests that catastrophe theory may provide a more complex but satisfying model for the probability of detecting signals in noise. A review of conventional views of detecting signals in noise is presented, followed by a catastrophe theoretic view. The detection probability is postulated to be an appropriate cross-section of a cusp catastrophe. Finally, suggestions for future research - theoretical and applied - are made.
Report Number
DMOR-STAFFNOTE-85/8 —
Date of publication
15 Feb 1985
Number of Pages
29
DSTKIM No
86-00486
CANDIS No
106107
Format(s):
Hardcopy;Originator's fiche received by DSIS

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