An Inexact Multiplier based Area-Efficient Fast Fourier Transform Processor

DOI

10.2991/aeecs-18.2018.53How to use a DOI?

Keywords

Truncated multiplier, Inexact 4-2 Compressor, Fast Fourier Transform.

Abstract

Fast Fourier Transform (FFT) and its inverse transform (IFFT) are commonly used tools for digital signal processing. They are widely used in various communication systems, especially the communication system based on orthogonal frequency division multiplexing (OFDM) technology. Reducing the cost of multiplier area can effectively spare the area of FFT because multipliers take up the mainly cost of the hardware. To solve the above problems, inexact multiplier for FFT, with lower area cost and low SQNR loss compared to a conventional exact FFT processor, is proposed. Comparison results show that the proposed FFT processor has good property for applications like DVB-T, LTE.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiang Yin
AU  - Hao Xiao
AU  - Weiwei Cao
AU  - Shu Chen
PY  - 2018/03
DA  - 2018/03
TI  - An Inexact Multiplier based Area-Efficient Fast Fourier Transform Processor
BT  - Proceedings of the 2018 2nd International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2018)
PB  - Atlantis Press
SP  - 316
EP  - 322
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeecs-18.2018.53
DO  - 10.2991/aeecs-18.2018.53
ID  - Yin2018/03
ER  -