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Nonlinear suboptimal filtration of pseudorandom sequences

Nonlinear suboptimal filtration of pseudorandom sequences The critical importance of studies of alternative methods of representation and processing of signals constructed from pseudorandom sequences of maximal period is demonstrated. For the first time, it is proposed that a multidimensional nonlinear finite-difference representation of an arbitrary pseudorandom sequence be employed. A suboptimal algorithm for nonlinear discrete Kalman filtration of a pseudorandom sequence is obtained. A numerical example of filtration of a sequence formed on the basis of a given recurrence rule is considered and its efficiency is demonstrated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Control and Computer Sciences Springer Journals

Nonlinear suboptimal filtration of pseudorandom sequences

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Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2007
ISSN
0146-4116
eISSN
1558-108X
DOI
10.3103/s0146411607030029
Publisher site
See Article on Publisher Site

Abstract

The critical importance of studies of alternative methods of representation and processing of signals constructed from pseudorandom sequences of maximal period is demonstrated. For the first time, it is proposed that a multidimensional nonlinear finite-difference representation of an arbitrary pseudorandom sequence be employed. A suboptimal algorithm for nonlinear discrete Kalman filtration of a pseudorandom sequence is obtained. A numerical example of filtration of a sequence formed on the basis of a given recurrence rule is considered and its efficiency is demonstrated.

Journal

Automatic Control and Computer Sciences – Springer Journals

Published: Jun 1, 2007

Keywords: digital signal processing; noise-like signal; pseudorandom sequence; finite-difference representation; suboptimal discrete Kalman filter

References