Johnson bound#2
In applied mathematics, the Johnson bound (named after Selmer Martin Johnson) is a limit on the size of error-correcting codes, as used in coding theory for data transmission or communications.
Definition
Let be a q-ary code of length , i.e. a subset of . Let be the minimum distance of , i.e.
:
where is the Hamming distance between and .
Let be the set of all q-ary codes with length and minimum distance and let denote the set of codes in such that every element has exactly nonzero entries.
Denote by the number of elements in . Then, we define to be the largest size of a code with length and minimum distance :
:
Similarly, we define to be the largest size of a code in :
:
Theorem 1 (Johnson bound for ):
If ,
:
If ,
:
Theorem 2 (Johnson bound for ):
(i) If
:
(ii) If , then define the variable as follows. If is even, then define through the relation ; if is odd, define through the relation . Let . Then,
:
where is the floor function.
Remark: Plugging the bound of Theorem 2 into the bound of Theorem 1 produces a numerical upper bound on .
See also
References
- {{cite journal |first=Selmer Martin |last=Johnson |author-link=Selmer Martin Johnson |title=A new upper bound for error-correcting codes |journal=IRE Transactions on Information Theory |pages=203–207 |date=April 1962}}
- {{cite book |first1=William Cary |last1=Huffman |first2=Vera S. |last2=Pless |author-link2=Vera Pless |title=Fundamentals of Error-Correcting Codes |url=https://archive.org/details/fundamentalsofer0000huff |url-access=registration |publisher=Cambridge University Press |year=2003 |isbn=978-0-521-78280-7}}