Complementary sequences for multivariable system identification
Wilson, Roland, 1949- (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.Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CDC.1980.271889
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 > Computer Science|
|Journal or Publication Title:||IEEE Conference on Decision and Control. Proceedings|
|Page Range:||pp. 693-694|
|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|
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