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Paper Abstract and Keywords
Presentation 2023-05-25 14:00
Weighting functions to suppress artifacts due to cyclic convolution in acoustic measurements based on discrete Fourier transform
Hideki Kawahara (Wakayama Univ.), Kohei Yatabe (Tokyo Univ. Agriculture Tech.), Mitsunori Mizumachi (Kyushu Inst. Tech.), Ken-Ichi Sakakibara (Health Science Univ. Hokkaido) EA2023-1
Abstract (in Japanese) (See Japanese page) 
(in English) The Fast Fourier Transform (FFT) is a common practice in acoustic impulse response measurement and processing due to its efficient computation of the Discrete Fourier transform (DFT). DFT assumes that signals are periodic, which is valid for periodic test signals. However, signals other than the test signals acquired in acoustic measurements do not have the same periodicity, resulting in artifacts caused by signal truncation. To circumvent this issue, we introduce weighting functions that minimize these artifacts by reducing the side-lobe levels of the differentiated weighting functions. We selected these functions from a set that preserves the periodicity. We designed the weighting functions through numerical optimization and integrated them into an interactive, real-time tool that uses a generalized set of test signals we propose. The tools and corresponding MATLAB codes are accessible in the first author's GitHub repository.
Keyword (in Japanese) (See Japanese page) 
(in English) impulse response / Walsh-Hadamard matri / signal safeguarding / CAPRICEP / post hoc analysis / discrete Fourier transform / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 53, EA2023-1, pp. 1-8, May 2023.
Paper # EA2023-1 
Date of Issue 2023-05-18 (EA) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EA2023-1

Conference Information
Committee EA  
Conference Date 2023-05-25 - 2023-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2023-05-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Weighting functions to suppress artifacts due to cyclic convolution in acoustic measurements based on discrete Fourier transform 
Sub Title (in English)  
Keyword(1) impulse response  
Keyword(2) Walsh-Hadamard matri  
Keyword(3) signal safeguarding  
Keyword(4) CAPRICEP  
Keyword(5) post hoc analysis  
Keyword(6) discrete Fourier transform  
Keyword(7)  
Keyword(8)  
1st Author's Name Hideki Kawahara  
1st Author's Affiliation Wakayama University (Wakayama Univ.)
2nd Author's Name Kohei Yatabe  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. Agriculture Tech.)
3rd Author's Name Mitsunori Mizumachi  
3rd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. Tech.)
4th Author's Name Ken-Ichi Sakakibara  
4th Author's Affiliation Health Science University of Hokkaido (Health Science Univ. Hokkaido)
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Speaker Author-1 
Date Time 2023-05-25 14:00:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2023-1 
Volume (vol) vol.123 
Number (no) no.53 
Page pp.1-8 
#Pages 8 
Date of Issue 2023-05-18 (EA) 

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