• DocumentCode
    3404129
  • Title

    Filter-based alias reduction for digital classical waveform synthesis

  • Author

    Pekonen, Jussi ; Välimäki, Vesa

  • Author_Institution
    Dept. of Signal Process. & Acoust., TKK Helsinki Technol. Univ., Helsinki
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    The classical waveforms used in the subtractive sound synthesis have rich spectral content, which causes their sampled digital implementations to suffer from aliasing distortion. Several antialiasing waveform synthesis algorithms have been suggested, and they either remove the aliasing completely or reduce it greatly. A new approach to alias reduction is proposed where the remaining aliased components are suppressed by applying digital highpass and/or comb filtering to the output of an antialiasing algorithm. Applicable filter designs for this novel postprocessing approach are discussed and evaluated with respect to the alias reduction performance using noise-to-mask ratio (NMR). The NMR can be reduced by 10 dB at high fundamental frequencies with a computationally efficient highpass filter. The NMR can be further reduced by using a combination of an IIR comb filter and a DC blocking filter, which provides the best alias reduction performance at high fundamental frequencies.
  • Keywords
    IIR filters; acoustic signal processing; comb filters; high-pass filters; DC blocking filter; IIR comb filter; alias reduction performance; antialiasing waveform synthesis algorithms; digital classical waveform synthesis; filter-based alias reduction; highpass filter; noise-to-mask ratio; subtractive sound synthesis; Digital filters; Filtering algorithms; Frequency; IIR filters; Nuclear magnetic resonance; Oscillators; Power harmonic filters; Sampling methods; Signal processing algorithms; Signal synthesis; Acoustic signal processing; antialiasing; audio oscillators; music; signal synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517564
  • Filename
    4517564