A new optimal estimate for the norm of time-frequency localization operators

被引:1
|
作者
Riccardi, Federico [1 ]
机构
[1] Politecn Torino, Dipartimento Sci Matemat, Corso Duca Abruzzi 24, I-10129 Turin, Italy
关键词
Short-time Fourier transform; Time-frequency localization operator; Uncertainty principle; Bargmann transform;
D O I
10.1016/j.jfa.2024.110523
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper we provide an optimal estimate for the operator norm of time-frequency localization operators L-F,L-phi: L-2(R-d) -> L-2(R-d), with Gaussian window phi and weight F, under the assumption that F is an element of L-p(R-2d) boolean AND L-q(R-2d) for some p and q in (1, +infinity). We are also able to characterize optimal weight functions, whose shape turns out to depend on the ratio parallel to F parallel to(q)/parallel to F parallel to(p). Roughly speaking, if this ratio is "sufficiently large" or "sufficiently small" optimal weight functions are certain Gaussians, while if it is in the intermediate regime the optimal functions are no longer Gaussians. As an application, we extend Lieb's uncertainty inequality to the space L-p + L-q. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] Time-frequency localization for the short time Fourier transform
    Lamouchi, H.
    Omri, S.
    INTEGRAL TRANSFORMS AND SPECIAL FUNCTIONS, 2016, 27 (01) : 43 - 54
  • [32] Source localization of time and time-frequency measures of the ERN
    Vaidyanathan, Uma
    Bernat, Edward M.
    Avivente, Selin
    Patrick, Christopher J.
    PSYCHOPHYSIOLOGY, 2008, 45 : S37 - S37
  • [33] Local Price uncertainty principle and time-frequency localization operators for the Hankel-Stockwell transform
    Hamadi, Nadia Ben
    Hafirassou, Zineb
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2020, 18 (06)
  • [34] Optimal initial structure of the RBF networks using time-frequency localization and genetic algorithm
    Kim, SJ
    Kim, JS
    Seo, JY
    Cho, HC
    Jeon, HT
    CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 1964 - 1969
  • [35] Time-frequency DOA estimate algorithm based on SPWVD
    Hu, H
    IEEE 2005 INTERNATIONAL SYMPOSIUM ON MICROWAVE, ANTENNA, PROPAGATION AND EMC TECHNOLOGIES FOR WIRELESS COMMUNICATIONS PROCEEDINGS, VOLS 1 AND 2, 2005, : 1253 - 1256
  • [36] Time-frequency localization from sparsity constraints
    Borgnat, Pierre
    Flandrin, Patrick
    2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 3785 - 3788
  • [37] Spatial localization of cortical time-frequency dynamics
    Dalal, Sarang S.
    Guggisberg, Adrian G.
    Edwards, Erik
    Sekihara, Kensuke
    Findlay, Anne M.
    Canolty, Ryan T.
    Knight, Robert T.
    Barbaro, Nicholas M.
    Kirsch, Heidi E.
    Nagarajan, Srikantan S.
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 4941 - +
  • [38] Time-frequency cardiac passive acoustic localization
    Bahadirlar, Y
    Gülçür, HÖ
    PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE, 2001, 23 : 1850 - 1853
  • [39] Time-Frequency Localization and Sampling of Multiband Signals
    Izu, Scott
    Lakey, Joseph D.
    ACTA APPLICANDAE MATHEMATICAE, 2009, 107 (1-3) : 399 - 435
  • [40] Wavelet packets with uniform time-frequency localization
    Villemoes, LF
    COMPTES RENDUS MATHEMATIQUE, 2002, 335 (10) : 793 - 796