An associative memory to solve the mixture problem in composite spectra

Author

Diaz, J.C. ; Aguayo, P. ; Gomez, P. ; Rodellar, V. ; Olmos, P.

Author_Institution

Grupo de Tecnologias Avanzadas, Centro de Investigaciones Energeticas, Madrid, Spain

fYear

1992

Firstpage

891

Abstract

Outlines the development of a robust method for the determination and quantification of the components in a composite radiation spectrum (CRS) assuming that the patterns of the individual nuclide spectra present in it are known in advance. A solution with a given miscalibration when the CRS is taken is also presented. The general solution method is based on the use of the pseudoinverse matrix supported by an associative memory, for which two different methods are presented. One is based on Pyle´s algorithm, and the other is based on an adaptive Widrow-Hoff procedure. The two methods are compared according to their computational complexity and the feasibility of their VLSI implementation

Keywords

computational complexity; content-addressable storage; spectroscopy computing; CRS; Pyle´s algorithm; VLSI implementation; adaptive Widrow-Hoff procedure; associative memory; composite radiation spectrum; composite spectra; computational complexity; miscalibration; mixture problem; nuclide spectra; pseudoinverse matrix; robust method; Associative memory; Beak; Computational complexity; Energy measurement; Instruments; Optimization methods; Radiofrequency interference; Robustness; Vectors; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on

Conference_Location

Washington, DC

Print_ISBN

0-7803-0510-8

Type

conf

DOI

10.1109/MWSCAS.1992.271181

Filename

271181