Title
Hardware-Efficient Parallel FIR Filter Structure Based on Modified Cook-Toom Algorithm
Abstract
The Cook-Toom algorithm is widely used in short-length linear convolution, which is the building block of large points convolution algorithms. This paper proposes improved parallel finite impulse response (FIR) filter structures for linear-phase FIR filter, which is based on the Cook-Toom algorithm. In the proposed structures, Cook-Toom algorithm is used to reduce the number of sub-filters, and the symmetric properties of the linear-phase FIR filter's coefficients is used to further reduce the number of multipliers in sub-filters. Compared with the reported FFA and ISCA parallel FIR filter structures, the proposed method can substantially reduce the computational complexity. Specifically, for a 8-parallel 144-tap filter, the proposed design saves 18 multipliers (5%), 45 adders (7.9%) compared with the structure based on Winograd convolution algorithm [7].
Year
DOI
Venue
2018
10.1109/APCCAS.2018.8605574
2018 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)
Keywords
Field
DocType
Cook-Toom algorithm,fast convolution,symmetric coefficients,parallel filter,hardware-efficient
Adder,Computer science,Convolution,Algorithm,Finite impulse response,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
978-1-5386-8241-8
0
0.34
References 
Authors
4
6
Name
Order
Citations
PageRank
Qiaoyu Tian100.68
Yinan Wang2279.85
Guiqing Liu301.01
Xiangyu Liu45114.10
Jietao Diao500.34
Hui Xu6127.67