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research-article

Further results on degree‐2 perfect Gaussian integer sequences

Published: 01 August 2016 Publication History

Abstract

A complex number whose real and imaginary parts are both integers is called a Gaussian integer. A Gaussian integer sequence is said to be perfect if it has an ideal periodic autocorrelation function (PACF) where all out‐of‐phase values are zero. Further, the degree of a Gaussian integer sequence is defined as the number of distinct non‐zero Gaussian integers within one period of the sequence. Recently, the perfect Gaussian integer sequences have been found important practical applications as signal processing tools for orthogonal frequency‐division multiplexing systems. The present article generalises the authors’ earlier paper by Lee et al. (2015) related to the Gaussian integer sequences with ideal PACFs. By the applications of two‐tuple‐balanced binary sequences and cyclic difference sets, a number of new degree‐2 perfect Gaussian integer sequences with different periods are obtained.

References

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Cited By

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  • (2024)Almost perfect autocorrelation sequences with small number of pauses for applications in magnetic resonanceCryptography and Communications10.1007/s12095-023-00659-x16:1(109-127)Online publication date: 1-Jan-2024

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Information

Published In

cover image IET Communications
IET Communications  Volume 10, Issue 12
August 2016
142 pages
EISSN:1751-8636
DOI:10.1049/cmu2.v10.12
Issue’s Table of Contents

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John Wiley & Sons, Inc.

United States

Publication History

Published: 01 August 2016

Author Tags

  1. binary sequences
  2. signal processing
  3. OFDM modulation
  4. Gaussian processes

Author Tags

  1. degree‐2 perfect Gaussian integer sequences
  2. ideal periodic autocorrelation function
  3. PACF
  4. nonzero Gaussian integers
  5. signal processing tools
  6. orthogonal frequency‐division multiplexing systems
  7. two‐tuple‐balanced binary sequences
  8. cyclic difference sets

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  • (2024)Almost perfect autocorrelation sequences with small number of pauses for applications in magnetic resonanceCryptography and Communications10.1007/s12095-023-00659-x16:1(109-127)Online publication date: 1-Jan-2024

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