IEICE TRANSACTIONS on Information
High-Order Bi-orthogonal Fourier Transform and Its Applications in Non-stability Signal Analysis
Summary :
This paper presents a novel signal analysis algorithm, named High-order Bi-orthogonal Fourier Transform (HBFT), which can be seen as an expansion of Fourier transform. The HBFT formula and discrete HBFT formula are derived, some of their main characteristics are briefly discusses. This paper also uses HBFT to analyze the multi-LFM signals, obtain the modulate rate parameters, analyze the high dynamic signals, and obtain the accelerated and varying accelerated motion parameters. The result proves that HBFT is suitable for analysis of the non-stability signals with high-order components.
- Publication
- IEICE TRANSACTIONS on Information Vol.E98-D No.1 pp.189-192
- Publication Date
- 2015/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2014EDL8077
- Type of Manuscript
- LETTER
- Category
- Fundamentals of Information Systems
Authors
Hong WANG
Nanjing University of Science and Technology
Yue-hua LI
Nanjing University of Science and Technology
Ben-qing WANG
Nanjing University of Science and Technology
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Hong WANG, Yue-hua LI, Ben-qing WANG, "High-Order Bi-orthogonal Fourier Transform and Its Applications in Non-stability Signal Analysis" in IEICE TRANSACTIONS on Information,
vol. E98-D, no. 1, pp. 189-192, January 2015, doi: 10.1587/transinf.2014EDL8077.
Abstract: This paper presents a novel signal analysis algorithm, named High-order Bi-orthogonal Fourier Transform (HBFT), which can be seen as an expansion of Fourier transform. The HBFT formula and discrete HBFT formula are derived, some of their main characteristics are briefly discusses. This paper also uses HBFT to analyze the multi-LFM signals, obtain the modulate rate parameters, analyze the high dynamic signals, and obtain the accelerated and varying accelerated motion parameters. The result proves that HBFT is suitable for analysis of the non-stability signals with high-order components.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014EDL8077/_p
Copy
@ARTICLE{e98-d_1_189,
author={Hong WANG, Yue-hua LI, Ben-qing WANG, },
journal={IEICE TRANSACTIONS on Information},
title={High-Order Bi-orthogonal Fourier Transform and Its Applications in Non-stability Signal Analysis},
year={2015},
volume={E98-D},
number={1},
pages={189-192},
abstract={This paper presents a novel signal analysis algorithm, named High-order Bi-orthogonal Fourier Transform (HBFT), which can be seen as an expansion of Fourier transform. The HBFT formula and discrete HBFT formula are derived, some of their main characteristics are briefly discusses. This paper also uses HBFT to analyze the multi-LFM signals, obtain the modulate rate parameters, analyze the high dynamic signals, and obtain the accelerated and varying accelerated motion parameters. The result proves that HBFT is suitable for analysis of the non-stability signals with high-order components.},
keywords={},
doi={10.1587/transinf.2014EDL8077},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - High-Order Bi-orthogonal Fourier Transform and Its Applications in Non-stability Signal Analysis
T2 - IEICE TRANSACTIONS on Information
SP - 189
EP - 192
AU - Hong WANG
AU - Yue-hua LI
AU - Ben-qing WANG
PY - 2015
DO - 10.1587/transinf.2014EDL8077
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2015
AB - This paper presents a novel signal analysis algorithm, named High-order Bi-orthogonal Fourier Transform (HBFT), which can be seen as an expansion of Fourier transform. The HBFT formula and discrete HBFT formula are derived, some of their main characteristics are briefly discusses. This paper also uses HBFT to analyze the multi-LFM signals, obtain the modulate rate parameters, analyze the high dynamic signals, and obtain the accelerated and varying accelerated motion parameters. The result proves that HBFT is suitable for analysis of the non-stability signals with high-order components.
ER -
English
