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A New High-Speed, Low-Area Residue-to-Binary Converter For the Moduli Set { 2 4n, 2 2n+ 1 , 2 n+ 1 , 2 n- 1 } Based on CRT-1

Akbari Department of Computer and Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran|
Somayyeh Jafarali (24328853600) | Shiva (56605128300); Jassbi Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran| Mehdi (57201880569); TaghipourEivazi Computer Science, University of Human Development, Sulaymaniyah, Iraq| Ali (57543245100); Hosseinzadeh Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam|

Circuits, Systems, and Signal Processing Số 11, năm 2021 (Tập 40, trang 5773-5786)

ISSN: 0278081X

ISSN: 0278081X

DOI: 10.1007/s00034-021-01743-4

Tài liệu thuộc danh mục:

Article

English

Từ khóa: Mathematical techniques; Signal processing; Chinese remainder theorem; Conversion speed; Dynamic range; High Speed; Moduli sets; Residue number system; Residue-to-binary converter; Reverse converters; Numbering systems
Tóm tắt tiếng anh
The implementation of reverse converter is one of the most important elements influencing the performance of a residue number system. In this research, we propose an efficient high-speed and low-area reverse converter for moduli set { 2 4n, 2 2n+ 1 , 2 n+ 1 , 2 n- 1 }. Due to the form of the moduli set, we have implemented the proposed reverse converter using Chinese remainder theorem and dynamic range division technique, which have resulted in a simpler design, lower area consumption and higher conversion speed compared to previous studies. To have a fair comparison between the proposed reverse converter and the recently presented converters with similar moduli sets, we used Xilinx ISE 13.1 FPGA simulator to derive area and delay, which are measured to cover the various dynamic ranges up to 256 bit. The experimental results show that the proposed reverse converter achieves an average 20% area time saving compared to the recently presented converters for similar moduli set. � 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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