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Proceedings Paper

High-performance signal and image processing for remote sensing using reconfigurable computers
Author(s): Michael P. Caffrey; John J. Szymanski; A. Begtrup; J. Layne; T. Nelson; S. Robinson; Alfonso Salazar; James P. Theiler
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Paper Abstract

It is not uncommon for remote sensing systems to produce in excess of 100 Mbytes/sec. Los Alamos National Laboratory designed a reconfigurable computer to tackle the signal and image processing challenges of high bandwidth sensors. Reconfigurable computing, based on field programmable gate arrays, offers ten to one hundred times the performance of traditional microprocessors for certain algorithms. This paper discusses the architecture of the computer and the source of performance gains, as well as an example application. The calculation of multiple matched filters applied to multispectral imagery, showing a performance advantage of forty- five over Pentium II (450 MHz), is presented as an exemplar of algorithms appropriate for this technology.

Paper Details

Date Published: 2 November 1999
PDF: 8 pages
Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); doi: 10.1117/12.367629
Show Author Affiliations
Michael P. Caffrey, Los Alamos National Lab. (United States)
John J. Szymanski, Los Alamos National Lab. (United States)
A. Begtrup, Los Alamos National Lab. (United States)
J. Layne, Los Alamos National Lab. (United States)
T. Nelson, Los Alamos National Lab. (United States)
S. Robinson, Los Alamos National Lab. (United States)
Alfonso Salazar, Los Alamos National Lab. (United States)
James P. Theiler, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 3807:
Advanced Signal Processing Algorithms, Architectures, and Implementations IX
Franklin T. Luk, Editor(s)

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