Localization of Gravitational Sources From Time-Frequency Maps

被引:1
|
作者
Addesso, Paolo [1 ,3 ,4 ]
Longo, Maurizio [1 ,3 ]
Matta, Vincenzo [1 ,3 ,4 ]
Pierro, Vincenzo [2 ,4 ]
机构
[1] Univ Salerno, DIEM, Fisciano, SA, Italy
[2] Univ Sannio, DING, Benevento, Italy
[3] CNIT, Parma, Italy
[4] INFN, Naples Sect, UNISA Associated Grp, Naples, Italy
关键词
Gravitational Waves; Time-Frequency Analysis; Wigner-Ville Distribution; Continuous Q Transform; Compressed Sensing; Phase Correlation; Delay Estimation; SIGNAL; DISTRIBUTIONS;
D O I
10.1109/MetroAeroSpace.2018.8453554
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The localization of Gravitational Waves (GW) sources, that is key in identifying their physical nature via the joint use of GW interferometers and other companion instruments, is mainly based on the observed delays between each pair of interferometers. In this scenario, Time-Frequency (TF) representations are widely used for GW detection and measurements, as the time delays between two detected GWs can be estimated by suitably aligning the related TF maps. In this work we adopt the Phase Correlation method for TF maps alignment, and compare different TF representations (i.e., Continuous Q Transform, Wigner-Ville Distribution, Smoothed Wigner-Ville and Sparsified Wigner-Ville) in terms of time delay estimation performance.
引用
收藏
页码:538 / 543
页数:6
相关论文
共 50 条
  • [42] Estimating neural sources from each time-frequency component of magnetoencephalographic data
    Sekihara, K
    Nagarajan, S
    Poeppel, D
    Miyashita, Y
    PROCEEDINGS OF THE IEEE-SP INTERNATIONAL SYMPOSIUM ON TIME-FREQUENCY AND TIME-SCALE ANALYSIS, 1998, : 69 - 72
  • [43] THE WAVELET TRANSFORM, TIME-FREQUENCY LOCALIZATION AND SIGNAL ANALYSIS
    DAUBECHIES, I
    IEEE TRANSACTIONS ON INFORMATION THEORY, 1990, 36 (05) : 961 - 1005
  • [44] Time-frequency localization with the Hartley S-transform
    Pinnegar, CR
    Mansinha, L
    SIGNAL PROCESSING, 2004, 84 (12) : 2437 - 2442
  • [45] ON THE IMPACT OF SIGNALS TIME-FREQUENCY SPARSITY ON THE LOCALIZATION PERFORMANCE
    Boudjellal, A.
    Nguyen, V. D.
    Abed-Meraim, K.
    Belouchrani, A.
    Ravier, Ph.
    2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 1941 - 1945
  • [46] Estimating neural sources from each time-frequency component of magnetoencephalographic data
    Sekihara, K
    Nagarajan, SS
    Poeppel, D
    Miyauchi, S
    Fujimaki, N
    Koizumi, H
    Miyashita, Y
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2000, 47 (05) : 642 - 653
  • [47] TIME-FREQUENCY PROCESSING FOR SOUND SOURCE LOCALIZATION FROM A MICRO AERIAL VEHICLE
    Wang, Lin
    Cavallaro, Andrea
    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 496 - 500
  • [48] Industrial Machinery Diagnosis by means of Normalized Time-Frequency Maps
    Picot, A.
    Zurita, D.
    Carino, J.
    Fournier, E.
    Regnier, J.
    Ortega, J-A.
    2015 IEEE 10TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2015, : 158 - 164
  • [49] Approximation of Time-Frequency Shift Equivariant Maps by Neural Networks
    Lee, Dae Gwan
    MATHEMATICS, 2024, 12 (23)
  • [50] Time-frequency track distance for comparing continuous gravitational wave signals
    Tenorio, Rodrigo
    Keitel, David
    Sintes, Alicia M.
    PHYSICAL REVIEW D, 2021, 103 (06)