Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System

IEEE Access(2023)

引用 0|浏览14
暂无评分
摘要
Improving the characteristics of digital signal processing devices is an important task in many practical problems. The paper proposes the architecture of a two-dimensional digital filter with a $5\times 5$ mask, in which calculations are performed according to the Winograd method in the Residue Number System (RNS) with moduli of a special type. Theoretical analysis and hardware Field-Programmable Gate Array simulation are presented. The results show that the fragment throughput fr/s (number of fragments per second) of the device is 29.6%– 724.7% higher than state-of-the-art solutions. This is achieved by the combination of the Winograd method, which reduces the number of multiplications, with the RNS arithmetic, which performs addition and multiplication under smaller operands in parallel. However, our experiments showed that the proposed method requires up to 2.54%– 11.01% more Look-Up Tables and 3.58%– 19.83% higher power consumption compared to known analogues.
更多
查看译文
关键词
Filtering,Finite impulse response filters,Performance evaluation,IIR filters,Hardware,Filtering algorithms,Computer architecture,Residue number system,winograd method,field-programmable gate array,digital filter,digital signal processing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要