Lee distance

In coding theory, the Lee distance is a distance between two strings $x_{1}x_{2}\dots x_{n}$ and $y_{1}y_{2}\dots y_{n}$ of equal length n over the q-ary alphabet {0, 1, …, q − 1} of size q ≥ 2.

It is a metric, defined as

\sum _{i=1}^{n}\min(|x_{i}-y_{i}|,\,q-|x_{i}-y_{i}|).

^[1]

Considering the alphabet as the additive group Z_q, the Lee distance between two single letters $x$ and $y$ is the length of shortest path in the Cayley graph (which is circular since the group is cyclic) between them.^[2]

If $q=2$ or $q=3$ the Lee distance coincides with the Hamming distance, because both distances are 0 for two single equal symbols and 1 for two single non-equal symbols. For $q>3$ this is not the case anymore, the Lee distance can become bigger than 1.

The metric space induced by the Lee distance is a discrete analog of the elliptic space.^[1]

Example[]

If q = 6, then the Lee distance between 3140 and 2543 is 1 + 2 + 0 + 3 = 6.

History and application[]

The Lee distance is named after . It is applied for phase modulation while the Hamming distance is used in case of orthogonal modulation.

The is an example of code in the Lee metric.^[3] Other significant examples are the Preparata code and ; these codes are non-linear when considered over a field, but are .^[4]

Also, there exists a Gray isometry (bijection preserving weight) between $\mathbb {Z} _{4}$ with the and $\mathbb {Z} _{2}^{2}$ with the Hamming weight.^[4]

References[]

^ ^a ^b Deza, Elena; Deza, Michel (2014), Dictionary of Distances (3rd ed.), Elsevier, p. 52, ISBN 9783662443422
^ Blahut, Richard E. (2008). Algebraic Codes on Lines, Planes, and Curves: An Engineering Approach. Cambridge University Press. p. 108. ISBN 978-1-139-46946-3.
^ Roth, Ron (2006). Introduction to Coding Theory. Cambridge University Press. p. 314. ISBN 978-0-521-84504-5.
^ ^a ^b Greferath, Marcus (2009). "An Introduction to Ring-Linear Coding Theory". In Sala, Massimiliano; Mora, Teo; Perret, Ludovic; Sakata, Shojiro; Traverso, Carlo (eds.). Gröbner Bases, Coding, and Cryptography. Springer Science & Business Media. p. 220. ISBN 978-3-540-93806-4.

Lee, C. Y. (1958), "Some properties of nonbinary error-correcting codes", IRE Transactions on Information Theory, 4 (2): 77–82, doi:10.1109/TIT.1958.1057446
Berlekamp, Elwyn R. (1968), Algebraic Coding Theory, McGraw-Hill
Voloch, Jose Felipe; Walker, Judy L. (1998). "Lee Weights of Codes from Elliptic Curves". In Vardy, Alexander (ed.). Codes, Curves, and Signals: Common Threads in Communications. Springer Science & Business Media. ISBN 978-1-4615-5121-8.

[Deza-1] Deza, Elena; Deza, Michel (2014), Dictionary of Distances (3rd ed.), Elsevier, p. 52, ISBN 9783662443422

[Blahut2008-2] Blahut, Richard E. (2008). Algebraic Codes on Lines, Planes, and Curves: An Engineering Approach. Cambridge University Press. p. 108. ISBN 978-1-139-46946-3.

[Roth2006-3] Roth, Ron (2006). Introduction to Coding Theory. Cambridge University Press. p. 314. ISBN 978-0-521-84504-5.

[Greferath2009-4] Greferath, Marcus (2009). "An Introduction to Ring-Linear Coding Theory". In Sala, Massimiliano; Mora, Teo; Perret, Ludovic; Sakata, Shojiro; Traverso, Carlo (eds.). Gröbner Bases, Coding, and Cryptography. Springer Science & Business Media. p. 220. ISBN 978-3-540-93806-4.

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v t Strings
String metric	Approximate string matching Bitap algorithm Damerau–Levenshtein distance Edit distance Gestalt Pattern Matching Hamming distance Jaro–Winkler distance Lee distance Levenshtein automaton Levenshtein distance Wagner–Fischer algorithm
String-searching algorithm	Apostolico–Giancarlo algorithm Boyer–Moore string-search algorithm Boyer–Moore–Horspool algorithm Knuth–Morris–Pratt algorithm Rabin–Karp algorithm
Multiple string searching	Aho–Corasick Commentz-Walter algorithm
Regular expression	Comparison of regular-expression engines Regular grammar Thompson's construction Nondeterministic finite automaton
Sequence alignment	Hirschberg's algorithm Needleman–Wunsch algorithm Smith–Waterman algorithm
Data structure	DAFSA Suffix array Suffix automaton Suffix tree Generalized suffix tree Rope Ternary search tree Trie
Other	Parsing Pattern matching Compressed pattern matching Longest common subsequence Longest common substring Sequential pattern mining Sorting