Discrete-time modelling of the moog sawtooth oscillator waveform

  • Authors:
  • Jussi Pekonen;Victor Lazzarini;Joseph Timoney;Jari Kleimola;Vesa Välimäki

  • Affiliations:
  • Department of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Aalto, Finland;National University of Ireland, Maynooth, Co. Kildare, Ireland;National University of Ireland, Maynooth, Co. Kildare, Ireland;Department of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Aalto, Finland;Department of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Aalto, Finland

  • Venue:
  • EURASIP Journal on Advances in Signal Processing - Special issue on musical applications of real-time signal processing
  • Year:
  • 2011

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Abstract

Discrete-time modelling strategies of analogue Moog sawtooth oscillator waveforms are presented. Two alternative approaches suitable for real-time implementation are proposed, one modelling the analogue waveform in time domain using phase distortion synthesis and another matching the spectrum of an existing antialiasing sawtooth oscillator to the corresponding analogue spectrum using a first-order IIR post-equalising filter. A parameter estimation procedure for both approaches is explained and performed. Performance evaluation using polynomial fits for the estimated parameters is carried out, and good matches between the model outputs and recorded waveforms are obtained. The best match of the tested algorithms is produced by the phase distortion model and by post-equalising the fourth-order B-spline bandlimited step function sawtooth oscillator.