收缩阵列离散希尔伯特变换的可配置结构

Ruiyi Sun, Yan Zhang, Jinlei Chen
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引用次数: 0

摘要

针对离散希尔伯特变换(DHT)中不同采样点个数不同的应用,如锥束计算机断层扫描(CBCT)的Katsevich公式滤波器,提出了一种新颖的可配置任意采样点个数的离散希尔伯特变换(DHT)收缩阵列。该阵列基于DHT的可配置矩阵公式,并根据可配置的样本个数n来执行不同的程序。仿真结果表明,当DHT的可配置矩阵公式的矩阵可以划分为小于32个分区时,该阵列的效率最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The configurable structure for Discrete Hilbert Transform via systolic array
A novel configurable systolic array for Discrete Hilbert Transform (DHT) with any number of sample points is proposed for the applications, which have distinct number of the samples in different cases such as filter in Katsevich formula for cone-beam computed tomography (CBCT). The proposed array is based on the configurable matrix formulation of DHT, and it performs different procedure by the configurable number of samples N. Simulation results shows that the array is most efficient when the matrix of the configurable matrix formulation of DHT can partition in to less than 32 partitions.
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