Sound synthesis of a nonlinear string using Volterra series

被引:22
|
作者
Helie, Thomas [1 ]
Roze, David [1 ,2 ]
机构
[1] IRCAM CNRS, UMR 9912, Anal Synth Team, F-75004 Paris, France
[2] CEA LIST, F-92265 Fontenay Aux Roses, France
关键词
D O I
10.1016/j.jsv.2008.01.038
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This paper proposes to solve and simulate various Kirchhoff models of nonlinear strings using Volterra series. Two nonlinearities are studied: the string tension is supposed to depend either on the global elongation of the string (first model), or on the local strain located at x (second, and more precise, model). The boundary conditions are simple Dirichlet homogeneous ones or general dynamic conditions (allowing the string to be connected to any system; typically a bridge). For each model, a Volterra series is used to represent the displacement as a functional of excitation forces. The Volterra kernels are solved using a modal decomposition: the first kernel of the series yields the standard modes of the linearized problem while the next kernels introduce the nonlinear dynamics. As a last step, systematic identification of the kernels lead to a structure composed of linear filters, sums, and products which are well-suited to the sound synthesis, using standard signal processing techniques. The nonlinear dynamic introduced through this simulation is significant and perceptible in sound results for sufficiently large excitations. (C) 2008 Published by Elsevier Ltd.
引用
收藏
页码:275 / 306
页数:32
相关论文
共 50 条
  • [21] Modeling Nonlinear Systems by Volterra Series
    Carassale, Luigi
    Kareem, Ahsan
    JOURNAL OF ENGINEERING MECHANICS, 2010, 136 (06) : 801 - 818
  • [22] THE CONVERGENCE OF VOLTERRA SERIES FOR NONLINEAR NETWORKS
    CZARNIAK, A
    KUDREWICZ, J
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1984, 31 (08): : 751 - 752
  • [23] Nonlinear Characteristic Analysis of Low Noise Amplifier Using Volterra Series
    Fang, Qun
    Wang, Junjun
    2018 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM IN CHINA (ACES-CHINA 2018), 2018,
  • [24] Nonlinear System Analysis and Identification Using Volterra Series with Harmonic Excitation
    Chatterjee, Animesh
    ADVANCES IN VIBRATION ENGINEERING, 2010, 9 (04): : 329 - 344
  • [25] Nonlinear Prediction of Speech Signal using Volterra-Wiener Series
    Patil, Hemant A.
    Patel, Tanvina B.
    14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5, 2013, : 1686 - 1690
  • [26] Identification of nonlinear structures using discrete-time Volterra series
    Sidney Bruce Shiki
    Vicente Lopes
    Samuel da Silva
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2014, 36 : 523 - 532
  • [27] Identification of nonlinear structures using discrete-time Volterra series
    Shiki, Sidney Bruce
    Lopes, Vicente, Jr.
    da Silva, Samuel
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2014, 36 (03) : 523 - 532
  • [28] Nonlinear single track model analysis using Volterra series approach
    Badji, B.
    Fenaux, E.
    El Bagdouri, M.
    Miraoui, A.
    VEHICLE SYSTEM DYNAMICS, 2009, 47 (01) : 81 - 98
  • [29] NONLINEAR-ANALYSIS OF MICROWAVE FET OSCILLATORS USING VOLTERRA SERIES
    HU, Y
    OBREGON, JJ
    MOLLIER, JC
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 1989, 37 (11) : 1689 - 1693
  • [30] Identification of the nonlinear response of ionic polymer actuators using the Volterra series
    Kothera, CS
    Leo, DJ
    JOURNAL OF VIBRATION AND CONTROL, 2005, 11 (04) : 519 - 541