Energy-efficient short-time Fourier transform for partial window overlapping

Charalampos Eleftheriadis, Mario Garrido, Georgios Karakonstantis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper presents an energy-efficient short-time Fourier transform (STFT) architecture. The proposed architecture is called frequency decomposition STFT (FD-STFT) and it achieves significant computational complexity reduction by effectively re-utilizing previously computed spectrums between overlapped sampling windows. Such an algorithmic modification not only reduces the required hardware units, but also achieves low accumulative error compared to conventional approaches. In addition, the quality of the resulting spectrogram is improved by integrating an efficient Hanning windowing technique that replaces the multiplication in the time domain with a low-cost filtering in the frequency domain. For an N=256 -point window with R=32 overlapping samples, our results indicate that our approach achieves up-to 40.86% and 65.56% area and power savings respectively, compared to recent approaches.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Symposium on Circuits and Systems 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781665451093
ISBN (Print)9781665451109
DOIs
Publication statusPublished - 21 Jul 2023
EventIEEE International Symposium on Circuits and Systems 2023 - Monterey, United States
Duration: 21 May 202325 May 2023
https://iscas2023.org/

Publication series

NameIEEE International Symposium on Circuits and Systems: Proceedings
ISSN (Print)0271-4302
ISSN (Electronic)2158-1525

Conference

ConferenceIEEE International Symposium on Circuits and Systems 2023
Abbreviated titleISCAS 2023
Country/TerritoryUnited States
CityMonterey
Period21/05/202325/05/2023
Internet address

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