Wilson, Roland (1980) Complementary sequences for multivariable system identification. In: Decision and Control including the Symposium on Adaptive Processes, 19th IEEE Conference on, Albuquerque, New Mexico, USA, 10-12 December 1980. Published in: IEEE Conference on Decision and Control. Proceedings, Vol.19 pp. 693-694. doi:10.1109/CDC.1980.271889

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Abstract

Efficient generation and correlation algorithms, combined with ideal aperiodic correlation properties, make complementary sequences a useful alternative to binary maximal length sequences (b.m.l.s) in multivariable system identification. Techniques for reducing the effects of errors on the response estimates are described and tested by simulation.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Journal or Publication Title:	IEEE Conference on Decision and Control. Proceedings
Publisher:	IEEE
Official Date:	December 1980
Dates:	Date Event December 1980 Published
Volume:	Vol.19
Page Range:	pp. 693-694
DOI:	10.1109/CDC.1980.271889
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	Decision and Control including the Symposium on Adaptive Processes, 19th IEEE Conference on
Type of Event:	Conference
Location of Event:	Albuquerque, New Mexico, USA
Date(s) of Event:	10-12 December 1980
Related URLs:	Other Repository

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