They are error-correcting codes that have algebraic properties that are convenient for efficient error detection and correction.
They are based on Galois fields and because of their structural properties they are very useful for error controls.
Their structure is strongly related to Galois fields because of which the encoding and decoding algorithms for cyclic codes are computationally efficient.
The ideal is generated by the unique monic element in
are coprime such a word always exists and is unique;[2] it is a generator of the code.
, the set of codewords contained in cyclic code generated by
the parity bit code, consisting of all words of even weight, corresponds to generator
The missing information symbols are usually imagined to be at the beginning of the codeword and are considered to be 0.
Depending on the application sometimes consecutive positions are considered as 0 and are deleted.
All the symbols which are dropped need not be transmitted and at the receiving end can be reinserted.
All types of error corrections are covered briefly in the further subsections.
Cyclic codes can also be used to correct double errors over the field
Hence if the two pair of nonlinear equations can be solved cyclic codes can used to correct two errors.
[5] A code whose minimum distance is at least 3, have a check matrix all of whose columns are distinct and non zero.
It is easy to define Hamming codes for large alphabets of size
and is a generator polynomial for the cyclic code of block length
But in many channels error pattern is not very arbitrary, it occurs within very short segment of the message.
So, for correcting such errors we will get a more efficient code of higher rate because of the less constraints.
A linear block code that corrects all burst errors of length
Proof: Because any linear code that can correct burst pattern of length
In 1959, Philip Fire[6] presented a construction of cyclic codes generated by a product of a binomial and a primitive polynomial.
Block length of the fire code is the smallest integer
By using multiple fire codes longer burst errors can also be corrected.
For error detection cyclic codes are widely used and are called
Applications of Fourier transform are widespread in signal processing.
Cyclic codes using Fourier transform can be described in a setting closer to the signal processing.
Thus, cyclic codes can also be defined as Given a set of spectral indices,
, whose elements are called check frequencies, the cyclic code
and the spectrum given by its inverse fourier transform is over the field
consecutive components of its spectrum equal to zero is all-zero vector.