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Proceedings Paper

Hardware-efficient implementation of digital FIR filter using fast first-order moment algorithm
Author(s): Li Cao; Jianguo Liu; Jun Xiong; Jing Zhang
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Paper Abstract

As the digital finite impulse response (FIR) filter can be transformed into the shift-add form of multiple small-sized firstorder moments, based on the existing fast first-order moment algorithm, this paper presents a novel multiplier-less structure to calculate any number of sequential filtering results in parallel. The theoretical analysis on its hardware and time-complexities reveals that by appropriately setting the degree of parallelism and the decomposition factor of a fixed word width, the proposed structure may achieve better area-time efficiency than the existing two-dimensional (2-D) memoryless-based filter. To evaluate the performance concretely, the proposed designs for different taps along with the existing 2-D memoryless-based filters, are synthesized by Synopsys Design Compiler with 0.18-μm SMIC library. The comparisons show that the proposed design has less area-time complexity and power consumption when the number of filter taps is larger than 48.

Paper Details

Date Published: 6 March 2018
PDF: 8 pages
Proc. SPIE 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 1061004 (6 March 2018); doi: 10.1117/12.2284452
Show Author Affiliations
Li Cao, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)
Jun Xiong, Huazhong Univ. of Science and Technology (China)
Jing Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10610:
MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging
Hong Sun; Henri Maître; Bruce Hirsch, Editor(s)

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