Title :
Reduced-Complexity Reed–Solomon Decoders Based on Cyclotomic FFTs
Author :
Chen, Ning ; Yan, Zhiyuan
Author_Institution :
Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA
fDate :
4/1/2009 12:00:00 AM
Abstract :
In this paper, we reduce the computational complexities of partial and dual partial cyclotomic FFTs (CFFTs), which are discrete Fourier transforms where spectral and temporal components are constrained, based on their properties as well as a common subexpression elimination algorithm. Our partial CFFTs achieve smaller computational complexities than previously proposed partial CFFTs. Utilizing our CFFTs in both transform- and time-domain Reed-Solomon decoders, we achieve significant complexity reductions.
Keywords :
Galois fields; Reed-Solomon codes; discrete Fourier transforms; Galois fields; Reed-Solomon decoders; common subexpression elimination; cyclotomic FFTs; discrete Fourier transforms; reduced-complexity; Additives; Computational complexity; Decoding; Discrete Fourier transforms; Flexible printed circuits; Frequency; Galois fields; Signal processing algorithms; Sparse matrices; Symmetric matrices; Common subexpression elimination (CSE); Galois fields; Reed–Solomon codes; decoding; discrete Fourier transforms;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2014292