Time-Frequency Coherent Modulation Filtering of Nonstationary Signals

被引:43
|
作者
Clark, Pascal [1 ]
Atlas, Les E. [1 ]
机构
[1] Univ Washington, Seattle, WA 98195 USA
关键词
Bandwidth; instantaneous frequency; modulation; modulation filtering; speech processing; time-frequency analysis; time-varying filters; SPEECH; AMPLITUDE; DECOMPOSITION;
D O I
10.1109/TSP.2009.2025107
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
Modulation filtering is a class of techniques for filtering slowly-varying modulation envelopes of frequency subbands of a signal, ideally without affecting the subband signal's temporal fine-structure. Coherent modulation filtering is a potentially more effective type of such techniques where, via an explicit product model, subband envelopes are determined from demodulation of the subband signal with a coherently detected subband carrier. In this paper we propose a coherent modulation filtering technique based on detecting the instantaneous frequency of a subband from its time-frequency representation. We devise theory to show that coherent modulation filtering imposes a new bandlimiting constraint on the product of the modulator and carrier as well as the ability to recover arbitrarily chosen envelopes and carriers from their modulation product. We then formally show that a carrier estimate based on the time-varying spectral center-of-gravity satisfies the bandlimiting condition. This bandwidth constraint leads to effective and artifact-free modulation filters, offering new approaches for potential signal modification. However, the spectral center-of-gravity does not, in general, satisfy the condition of arbitrary carrier recovery. Finally, the results from modulation-filtering a speech signal are then used to validate the theory.
引用
收藏
页码:4323 / 4332
页数:10
相关论文
共 50 条
  • [41] Estimation of biological signals by time-frequency methods
    Nelson, DJ
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXIII, 2000, 4115 : 225 - 236
  • [42] The Time-Frequency Analysis of Abnormal ECG Signals
    Song, Lantian
    Yu, Fengqin
    LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, 2010, 6330 : 60 - 66
  • [43] Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition
    Lin, Shangao
    Zeng, Yuan
    Gong, Yi
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (04) : 707 - 711
  • [44] A Kalman Filtering Method on Time-Frequency Discrimination Analysis
    Li, Yong
    Xiao, Feng
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2025, 44 (02) : 1426 - 1442
  • [45] Time-frequency analysis of microwave signals based on stimulated Brillouin scattering
    Ma, Dong
    Zuo, Pengcheng
    Chen, Yang
    OPTICS COMMUNICATIONS, 2022, 516
  • [46] Robust Adaptive Time-Frequency Filtering for Frequency Shift Jamming Suppression
    Huang, Quan
    Wei, Shaopeng
    Zhang, Lei
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 59 (06) : 7963 - 7976
  • [47] Extraction of instantaneous frequencies from ridges in time-frequency representations of signals
    Iatsenko, D.
    McClintock, P. V. E.
    Stefanovska, A.
    SIGNAL PROCESSING, 2016, 125 : 290 - 303
  • [48] A modulation property of time-frequency derivatives of filtered phase and its application to aperiodicity and fo estimation
    Kawahara, Hideki
    Sakakibara, Ken-Ichi
    Morise, Masanori
    Banno, Hideki
    Toda, Tomoki
    18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION, 2017, : 424 - 428
  • [49] Time-Frequency Analysis of Pulsed Eddy Current Signals
    M. S. Safizadeh
    B. A. Lepine
    D. S. Forsyth
    A. Fahr
    Journal of Nondestructive Evaluation, 2001, 20 : 73 - 86
  • [50] Decomposition of biomedical signals for enhancement of their time-frequency distributions
    Sun, M
    Scheuer, ML
    Sclabassi, RJ
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2000, 337 (04): : 453 - 467