A low-cost approximate 32-point transform architecture

Heming Sun, Zhengxue Cheng, Amir Masoud Gharehbaghi, Shinji Kimura, Masahiro Fujita

研究成果: Conference contribution

2 被引用数 (Scopus)


This paper presents an area-efficient approximate method for 32-point transform which is one of the most area-consuming parts in High Efficiency Video Coding (HEVC) applications. Compared to prior literatures, this work reduces the hardware cost of transform by 1) eliminating all the arithmetic operations of 6 least significant bits (LSB), 2) presenting a low-delay method for generating carry propagation from the remaining 5 LSBs and 3) truncating the most significant bits (MSB) according to the position of component. In the implementation of a 32-point forward transform, the experimental results show that 27% area consumption can be saved and the coding efficiency loss aroused by the approximation is only 0.044% compared with the origin.

ホスト出版物のタイトルIEEE International Symposium on Circuits and Systems
ホスト出版物のサブタイトルFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
出版ステータスPublished - 2017 9月 25
イベント50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
継続期間: 2017 5月 282017 5月 31


Other50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
国/地域United States

ASJC Scopus subject areas

  • 電子工学および電気工学


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