Title :
List Decoding of Biorthogonal Codes and the Hadamard Transform With Linear Complexity
Author :
Dumer, Ilya ; Kabatiansky, Grigory ; Tavernier, Cédric
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Riverside, CA
Abstract :
Let a biorthogonal Reed-Muller code RM (1,m) of length n = 2m be used on a memoryless channel with an input alphabet plusmn1 and a real-valued output R. Given any nonzero received vector y in the Euclidean space Rn and some parameter epsiisin(0,1), our goal is to perform list decoding of the code RM (1, m) and retrieve all codewords located within the angle arccos e from y. For an arbitrarily small epsi, we design an algorithm that outputs this list of codewords with the linear complexity order of n [ln2 isin] bit operations. Without loss of generality, let vector y be also scaled to the Euclidean length radic(n) of the transmitted vectors. Then an equivalent task is to retrieve all coefficients of the Hadamard transform of vector y whose absolute values exceed nisin. Thus, this decoding algorithm retrieves all ne-significant coefficients of the Hadamard transform with the linear complexity n [ln2 isin] instead of the complexity n In2n of the full Hadamard transform.
Keywords :
Hadamard transforms; Reed-Muller codes; channel capacity; channel coding; computational complexity; decoding; orthogonal codes; Euclidean space; Hadamard transform; biorthogonal Reed-Muller codes; linear complexity; list decoding; memoryless channel; Algorithm design and analysis; Binary codes; Error correction; Error correction codes; Hamming distance; Information theory; Maximum likelihood decoding; Memoryless systems; Propagation losses; Vectors; Biorthogonal codes; Hadamard transform; soft-decision list decoding;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2008.929014