UNSPECIFIED (2001) The generation of binary and near-binary pseudo-random signals: An overview REDISCOVERING MEASUREMENT IN THE AGE OF INFORMATICS. In: 18th IEEE Instrumentation and Measurement Technology Conference (IMTC/2001), MAY 21-23, 2001, BUDAPEST, HUNGARY.

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Abstract

Pseudo-random signals have been widely used for system identification. Maximum length binary signals are the best known class of pseudo-random signals, because of their ease of generation using feedback shift registers, but it is less well known that there are several other classes of binary and near-binary signals with identical, or nearly identical properties. An overview of these classes of signal is given and the design of a new MATLAB routine incorporating all these classes of signal is described. The importance of the choice of MLB signal to use in particular applications is illustrated with the identification of a Wiener system having a quadratic nonlinearity and a cubic nonlinearity. Errors in the measurements of the input-output crosscorrelation function caused by the nonlinearities can be reduced when the signal is used in the estimation of the system weighting function if an appropriate choice of feedback connections and data length used for the estimation are chosen. In the final part of the paper, three measures of signal quality are considered.

Item Type:	Conference Item (UNSPECIFIED)
Series Name:	IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, PROCEEDINGS
Journal or Publication Title:	IMTC/2001: PROCEEDINGS OF THE 18TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3
Publisher:	IEEE
ISBN:	0-7803-6646-8
ISSN:	1091-5281
Date:	2001
Number of Pages:	4
Page Range:	pp. 766-771
Publication Status:	Published
Title of Event:	18th IEEE Instrumentation and Measurement Technology Conference (IMTC/2001)
Location of Event:	BUDAPEST, HUNGARY
Date(s) of Event:	MAY 21-23, 2001
URI:	http://wrap.warwick.ac.uk/id/eprint/11421

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