基于Hadamard分解的快速有限域Hartley变换
Fast Finite Field Hartley Transforms Based on Hadamard Decomposition
AI总结:
本文提出基于Hadamard分解的快速有限域Hartley变换算法,利用其对称性优化计算复杂度,达到理论下限,适用于多址接入系统设计。
摘要:
一种新的有限域Hartley变换(FFHT)最近被引入,并在多址接入系统和多级扩频序列设计中提出了有前景的应用。FFHT表现出有趣的对称性,通过Hadamard-Walsh变换(HWT)进行递归分解来推导定制化的快速变换算法。所提出的快速算法通过HWT分解FFHT,所有研究案例均达到乘法复杂度的下限。新算法的复杂度与传统算法进行了比较。
英文摘要:
A new transform over finite fields, the finite field Hartley transform (FFHT), was recently introduced and a number of promising applications on the design of efficient multiple access systems and multilevel spread spectrum sequences were proposed. The FFHT exhibits interesting symmetries, which are exploited to derive tailored fast transform algorithms. The proposed fast algorithms are based on successive decompositions of the FFHT by means of Hadamard-Walsh transforms (HWT). The introduced decompositions meet the lower bound on the multiplicative complexity for all the cases investigated. The complexity of the new algorithms is compared with that of traditional algorithms.
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