On the Correlation of Binary M-sequences

John Friedlander; Michael Larsen; Daniel Lieman; Igor Shparlinski

On the Correlation of Binary M-sequences

John Friedlander^*, Michael Larsen, Daniel Lieman, Igor Shparlinski

^*Corresponding author for this work

School of Computing

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

We obtain the upper bound O(2¹⁴ⁿ/¹⁵n^-1/5) on the number of distinct values of all possible correlation functions between M-sequences of order n.

Original language	English
Pages (from-to)	249-256
Number of pages	8
Journal	Designs, Codes and Cryptography
Volume	16
Issue number	3
Publication status	Published - 1999

Keywords

Correlation functions
M-sequences

Cite this

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title = "On the Correlation of Binary M-sequences",

abstract = "We obtain the upper bound O(214n/15n-1/5) on the number of distinct values of all possible correlation functions between M-sequences of order n.",

keywords = "Correlation functions, M-sequences",

author = "John Friedlander and Michael Larsen and Daniel Lieman and Igor Shparlinski",

year = "1999",

language = "English",

volume = "16",

pages = "249--256",

journal = "Designs, Codes and Cryptography",

issn = "0925-1022",

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number = "3",

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TY - JOUR

T1 - On the Correlation of Binary M-sequences

AU - Friedlander, John

AU - Larsen, Michael

AU - Lieman, Daniel

AU - Shparlinski, Igor

PY - 1999

Y1 - 1999

N2 - We obtain the upper bound O(214n/15n-1/5) on the number of distinct values of all possible correlation functions between M-sequences of order n.

AB - We obtain the upper bound O(214n/15n-1/5) on the number of distinct values of all possible correlation functions between M-sequences of order n.

KW - Correlation functions

KW - M-sequences

UR - https://www.scopus.com/pages/publications/0003661439

M3 - Article

AN - SCOPUS:0003661439

SN - 0925-1022

VL - 16

SP - 249

EP - 256

JO - Designs, Codes and Cryptography

JF - Designs, Codes and Cryptography

IS - 3

ER -

On the Correlation of Binary M-sequences

Abstract

Keywords

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