用于片上系统实现的顺序递归流水线实时VLSI HOS引擎

S. Hasan, M. Bettayeb
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引用次数: 0

摘要

提出了一种全新的全流水线并行处理VLSI架构,用于高阶统计量(HOS)的阶递归实时估计。与最近在HOS阵列计算方面的其他工作相比,该方法采用简单的算术元素和延迟元素,提供了一种细粒度的收缩VLSI架构。此外,与之前主要关注四阶和低阶统计量的工作相比,这项工作提出了一个开放式向上兼容的架构引擎,可以为任何高阶生成HOS。该提议的HOS引擎的吞吐量仅受乘法间隔的限制。因此,使用今天的深亚分之一微米CMOS工艺技术,该HOS引擎可以实现500 MHz至1 GHz的吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An order-recursive pipelined real-time VLSI HOS engine for system-on-chip implementation
This paper presents a novel fully pipelined parallel processing VLSI architecture for the order-recursive estimation of higher order statistics(HOS) in real-time. Compared to other recent work in array computation of HOS this approach presents a fine-grained systolic VLSI architecture using simple arithmetic elements & delay elements. Also, compared to previous work which mostly dwelt on 4th & lower order statistics, this work presents an open ended upwardly compatible architectural engine which can generate HOS for any high order. The through-put of this proposed HOS engine is only limited by a multiplication interval. Hence using today's deep subquarter micron CMOS process technology, through-puts in the range of 500 MHz to 1 GHz can be achieved for this HOS engine.
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