Novel structures for Discrete Hartley Transform based on first-order moments

Jun Xiong; Wenjuan Zheng; Hao Wang; Jianguo Liu

doi:10.1117/12.2288162

6 March 2018 Novel structures for Discrete Hartley Transform based on first-order moments

Jun Xiong, Wenjuan Zheng, Hao Wang, Jianguo Liu

Author Affiliations +

Proceedings Volume 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging; 1061007 (2018) https://doi.org/10.1117/12.2288162
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Discrete Hartley Transform (DHT) is an important tool in digital signal processing. In the present paper, the DHT is firstly transformed into the first-order moments-based form, then a new fast algorithm is proposed to calculate the first-order moments without multiplication. Based on the algorithm theory, the corresponding hardware architecture for DHT is proposed, which only contains shift operations and additions with no need for multipliers and large memory. To verify the availability and effectiveness, the proposed design is implemented with hardware description language and synthesized by Synopsys Design Compiler with 0.18-μm SMIC library. A series of experiments have proved that the proposed architecture has better performance in terms of the product of the hardware consumption and computation time.

Citation Download Citation

Jun Xiong, Wenjuan Zheng, Hao Wang, and Jianguo Liu "Novel structures for Discrete Hartley Transform based on first-order moments", Proc. SPIE 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 1061007 (6 March 2018); https://doi.org/10.1117/12.2288162

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