Produce generator polynomials for cyclic code
pol = cyclpoly(n,k)
pol = cyclpoly(n,k,
For all syntaxes, a polynomial is represented as a row containing the coefficients in order of ascending powers.
pol = cyclpoly(n,k) returns
the row vector representing one nontrivial generator polynomial for
a cyclic code having codeword length
n and message
pol = cyclpoly(n,k, searches
for one or more nontrivial generator polynomials for cyclic codes
having codeword length
n and message length
pol depends on the argument
shown in the table below.
|opt||Significance of pol||Format of pol|
|One generator polynomial having the smallest possible weight||Row vector representing the polynomial|
|One generator polynomial having the greatest possible weight||Row vector representing the polynomial|
|All generator polynomials M||Matrix, each row of which represents one such polynomial|
|a positive integer, L||All generator polynomials having weight L||Matrix, each row of which represents one such polynomial|
The weight of a binary polynomial is the number of nonzero terms
it has. If no generator polynomial satisfies the given conditions,
pol is empty and a warning message is
The first command below produces representations of three generator polynomials for a [15,4] cyclic code. The second command shows that 1 + x + x2 + x3+ x5+ x7+ x8+ x11 is one such polynomial having the largest number of nonzero terms.
c1 = cyclpoly(15,4,'all') c2 = cyclpoly(15,4,'max')
The output is
c1 = Columns 1 through 10 1 1 0 0 0 1 1 0 0 0 1 0 0 1 1 0 1 0 1 1 1 1 1 1 0 1 0 1 1 0 Columns 11 through 12 1 1 1 1 0 1 c2 = Columns 1 through 10 1 1 1 1 0 1 0 1 1 0 Columns 11 through 12 0 1
This command shows that no generator polynomial for a [15,4] cyclic code has exactly three nonzero terms.
c3 = cyclpoly(15,4,3)
Warning: No cyclic generator polynomial satisfies the given constraints. > In cyclpoly at 131 c3 = 
or omitted, polynomials are constructed by converting decimal integers
p. Based on the decimal ordering,
the first polynomial it finds that satisfies the appropriate conditions.
This algorithm is similar to the one used in