Authors' reply to comments on "The inverse S-transform in filters with time-frequency localization"

被引:11
作者
Schimmel, M. [1 ]
Gallart, J. [1 ]
机构
[1] CSIC, Inst Earth Sci Jaume Almera, E-08028 Barcelona, Spain
关键词
D O I
10.1109/TSP.2007.896053
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Pinnegar points in his comment to a mistake in our paper on the inverse S-transform. It seems, in fact, that the error should mainly be attributed to the discretization of the S-transform, not to our inverse S-transform. Pinnegar bases his approach on the discrete S-transform by using its representation in the frequency domain. It is shown in an accompanying paper by Simon et al that there are differences whether one discretizes the S-transform using the time-domain or the frequency-domain expression. As a consequence, both inverse S-transforms suffer from different small artifacts. There are no changes in the physics, understanding, and conclusions of our publication.
引用
收藏
页码:5120 / 5121
页数:2
相关论文
共 50 条
  • [31] Evaluation of the modified S-transform for time-frequency synchrony analysis and source localisation
    Said Assous
    Boualem Boashash
    [J]. EURASIP Journal on Advances in Signal Processing, 2012
  • [32] A Step Toward Real-Time Time-Frequency Analyses with Varying Time-Frequency Resolutions: Hardware Implementation of an Adaptive S-transform
    Radovic, Nevena
    Ivanovic, Veselin N.
    Djurovic, Igor
    Simeunovic, Marko
    Sejdic, Ervin
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2023, 42 (02) : 853 - 874
  • [33] Time-Frequency Analysis of Vascular Dementia EEG Signals using Generalized S-transform
    Sheng, Hengsong
    Xu, Jin
    Zheng, Chongxun
    [J]. 2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [34] An adaptive time-frequency filtering method for nonstationary signals based on the generalized S-transform
    Wang D.-W.
    Li Y.
    Zhang K.
    Xu H.
    [J]. Optoelectronics Letters, 2010, 6 (02) : 133 - 136
  • [35] A novel time-frequency analysis method for fault diagnosis based on generalized S-transform and synchroextracting transform
    Wang, Hongwei
    Fang, Zhiwen
    Wang, Hongli
    Li, Yong'an
    Geng, Yide
    Chen, Long
    Chang, Xin
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (03)
  • [36] Denoising of Electrocardiogram Signal Using S-Transform Based Time-Frequency Filtering Approach
    Mishra, Ankita
    Sahu, Sitanshu Sekhar
    Sharma, Rajeev
    Mishra, Sudhansu Kumar
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (10) : 9515 - 9525
  • [37] An improved time-frequency analysis method for structural instantaneous frequency identification based on generalized S-transform and synchroextracting transform
    Yuan, Ping-Ping
    Zhang, Jian
    Feng, Jia-Qi
    Wang, Hang-Hang
    Ren, Wei-Xin
    Wang, Chao
    [J]. ENGINEERING STRUCTURES, 2022, 252
  • [38] APPLICATION OF MULTI-SYNCHROSQUEEZED GENARALIZED S-TRANSFORM IN SEISMIC TIME-FREQUENCY ANALYSIS
    Wang, Qian
    Yang, Xuehua
    Tang, Bo
    Liu, Naihao
    Gao, Jinghuai
    [J]. JOURNAL OF SEISMIC EXPLORATION, 2023, 32 (01): : 39 - 49
  • [39] An adaptive time-frequency filtering method for nonstationary signals based on the generalized S-transform
    王殿伟
    李言俊
    张科
    徐焕民
    [J]. OptoelectronicsLetters, 2010, 6 (02) : 133 - 136
  • [40] Time-Frequency Localization Operators and a Berezin Transform
    Bayer, Dominik
    Groechenig, Karlheinz
    [J]. INTEGRAL EQUATIONS AND OPERATOR THEORY, 2015, 82 (01) : 95 - 117