Computer Science – Information Theory
Scientific paper
2008-11-02
Computer Science
Information Theory
15 pages, shortened version submitted to IEEE Signal Processing Letters
Scientific paper
10.1109/LSP.2009.2014292
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.
Chen Ning
Yan Zhiyuan
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