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Data dependence analysis and bit-level systolic arrays of themedian filter

机译:Themedian过滤器的数据依赖性分析和位级脉动阵列

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摘要

The data dependence of the delete-and-insert sort algorithm for median filtering is analyzed in this paper. It is shown that because of data dependence, the fastest throughput rate and the most efficient pipeline scheme cannot be used concurrently. A modified delete-and insert sort algorithm avoiding the above dilemma and its bit-level systolic array implementation are proposed in this paper. The throughput rate of the proposed architecture is equal to one-half (output/clocks) the maximum throughput allowed by the delete-and-insert sort algorithm, and the clock cycle time is equal to the propagation delay of a simple combinational circuit. Its speed is about 1.5 times faster than the existing bit-level systolic array designed by using the same delete-and-insert sort algorithm. The proposed architecture can be designed to operate at different word lengths and different window sizes. It is modular, regular, and of local interconnections and therefore amenable for VLSI implementation
机译:本文分析了用于中值滤波的删除插入排序算法的数据依赖性。结果表明,由于数据依赖性,不能同时使用最快的吞吐率和最有效的流水线方案。提出了一种避免上述困境的改进的删除插入排序算法及其位级脉动阵列实现。所提出的架构的吞吐率等于删除插入排序算法所允许的最大吞吐率的一半(输出/时钟),并且时钟周期时间等于简单组合电路的传播延迟。它的速度大约是使用相同的删除和插入排序算法设计的现有位级脉动阵列的1.5倍。可以将提出的体系结构设计为以不同的字长和不同的窗口大小运行。它是模块化,常规和本地互连的,因此适用于VLSI实施

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