UNSPECIFIED (2002) The generation of binary and near-binary pseudorandom signals: An overview. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 51 (4). pp. 583-588. doi:10.1109/TIM.2002.802243

Research output not available from this repository, contact author.

Request Changes to record.

Abstract

Pseudorandom signals have been widely used for system identification. Maximum length binary signals are the best known class of pseudorandom 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 signals is given, and the design of a new MATLAB routine incorporating all these classes of signals 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. Using correlation analysis to estimate the linear system weighting function, errors due to the nonlinearities can be reduced if an appropriate choice is made of feedback connections and of data length used for the estimation.

Item Type:	Journal Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Journal or Publication Title:	IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN:	0018-9456
Official Date:	August 2002
Dates:	Date Event August 2002 UNSPECIFIED
Volume:	51
Number:	4
Number of Pages:	6
Page Range:	pp. 583-588
DOI:	10.1109/TIM.2002.802243
Publication Status:	Published

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item