• DocumentCode
    3341278
  • Title

    Direct method with random optimization for loudspeaker equalization using IIR parametric filters

  • Author

    Ramos, German ; Lopez, Jose J. ; Lloret, Jaime

  • Author_Institution
    Electron. Dept., Univ. Politecnica de Valencia, Spain
  • Volume
    4
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    A direct method that uses a random optimization process is proposed for the design of parametric IIR (infinite impulse response) filters for audio equalization. The method uses the loudspeaker response as starting point in order to obtain the desired electro-acoustical target. The algorithm uses a bank of parametric second order filters, known as peak filters in the audio field, to equalize and approximate the filtered response to the desired one. When the recursive process is finished, the parameters that define the filters (frequency, gain and Q) are obtained in correction order of importance; first the ones that provide deep correction in the response. This characteristic allows the implementation of scalable systems with different degrees of complexity and correction.
  • Keywords
    IIR filters; audio signal processing; equalisers; loudspeakers; optimisation; recursive filters; IIR parametric filters; Q correction; audio equalization; direct method; electro-acoustical target; frequency correction; gain correction; infinite impulse response filters; loudspeaker equalization; loudspeaker response; parametric second order filters; peak filters; random optimization process; recursive process; scalable systems; Computational efficiency; Costs; Design optimization; Digital filters; Filtering; Finite impulse response filter; Frequency; IIR filters; Loudspeakers; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1326772
  • Filename
    1326772