WIDE-BAND, PROPORTIONAL-BANDWIDTH WIGNER-VILLE ANALYSIS

被引:34
|
作者
ALTES, RA
机构
[1] UNIV CALIF SAN DIEGO,LA JOLLA,CA 92093
[2] SAN DIEGO STATE UNIV,SAN DIEGO,CA 92182
[3] HUBBS SEA WORLD RES INST,SAN DIEGO,CA
来源
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING | 1990年 / 38卷 / 06期
关键词
D O I
10.1109/29.56061
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The Wigner-Ville (W-V) distribution is a time-fre-quency representation that yields a highly accurate estimate of instantaneous frequency. It is related to the narrow-band ambiguity function by an integral transform, and it can be used in a variety of detection and estimation problems. A spectrogram constructed with constant-bandwidth filters can be obtained by convolving two W-V distributions or by forming a magnitude-squared narrow-band cross-ambiguity function. The wide-band ambiguity function represents the Doppler effect with dilation or compression rather than with frequency shift as in the narrow-band approximation. The “Q distribution” is a modified W-V representation that is related to the wide-band ambiguity function by an integral transform. A spectrogram constructed with propor-tional-bandwidth or constant-Q filters can be obtained by a convolutionlike operation involving two Q distributions or by forming a magnitude-squared wide-band cross-ambiguity function. The Q distribution is thus a wide-band version of the W-V distribution. Properties of the Q distribution indicate that it may prove useful for detection and parameter estimation, as well as for tomographic measurement of wideband scattering functions with relatively few transmitted waveforms. © 1990 IEEE
引用
收藏
页码:1005 / 1012
页数:8
相关论文
共 50 条
  • [1] PROPORTIONAL BANDWIDTH, WIDE-BAND WIGNER-VILLE ANALYSIS
    ALTES, RA
    ADVANCED ALGORITHMS AND ARCHITECTURES FOR SIGNAL PROCESSING IV, 1989, 1152 : 265 - 276
  • [2] WIGNER-VILLE ANALYSIS OF ASYMPTOTIC SIGNALS AND APPLICATIONS
    BOASHASH, B
    ESCUDIE, B
    SIGNAL PROCESSING, 1985, 8 (03) : 315 - 327
  • [3] Discrete Wigner-Ville distribution with wide frequency observation range
    Yamaoka, Tomoya
    Oshima, Tadashi
    IEICE COMMUNICATIONS EXPRESS, 2025, 14 (02): : 67 - 70
  • [4] WIGNER-VILLE SPECTRAL-ANALYSIS OF NONSTATIONARY PROCESSES
    MARTIN, W
    FLANDRIN, P
    IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1985, 33 (06): : 1461 - 1470
  • [5] Wigner-Ville analysis and classification of electrocardiograms during thrombolysis
    Chouvarda, I
    Maglaveras, N
    Boufidou, A
    Mohlas, S
    Louridas, G
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2003, 41 (06) : 609 - 617
  • [6] A quantitative SNR analysis for the pseudo Wigner-Ville distribution
    Xia, XG
    Chen, VC
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (10) : 2891 - 2894
  • [7] Wigner-Ville analysis and classification of electrocardiograms during thrombolysis
    I. Chouvarda
    N. Maglaveras
    A. Boufidou
    S. Mohlas
    G. Louridas
    Medical and Biological Engineering and Computing, 2003, 41 : 609 - 617
  • [8] Application of Wigner-Ville distribution in electromigration noise analysis
    Tan, Cher Ming
    Lim, Shin Yeh
    IEEE Transactions on Device and Materials Reliability, 2002, 2 (02) : 30 - 35
  • [9] The Wigner-Ville distribution in the analysis of deterministic components of spontaneous oscillations
    Darowicki, K
    Krakowiak, A
    Zielinski, A
    POLISH JOURNAL OF CHEMISTRY, 2001, 75 (03) : 443 - 452
  • [10] EGG SIGNAL ANALYSIS BASED ON PSEUDO WIGNER-VILLE DISTRIBUTION
    Savkov, O. O.
    Moroz, V. V.
    RADIO ELECTRONICS COMPUTER SCIENCE CONTROL, 2015, 1 : 33 - 38