DocumentCode :
1493824
Title :
Automated Physical Modeling of Nonlinear Audio Circuits For Real-Time Audio Effects—Part I: Theoretical Development
Author :
Yeh, David T. ; Abel, Jonathan S. ; Smith, Julius O., III
Author_Institution :
Dept. of Music, Stanford Univ., Stanford, CA, USA
Volume :
18
Issue :
4
fYear :
2010
fDate :
5/1/2010 12:00:00 AM
Firstpage :
728
Lastpage :
737
Abstract :
This paper presents a procedural approach to derive nonlinear filters from schematics of audio circuits for the purpose of digitally emulating analog musical effects circuits in real time. This work, the first in a two-part series, extends a well-known efficient nonlinear continuous-time state-space formulation for physical modeling of musical acoustics to real-time modeling of nonlinear circuits. Rules for applying the formulation are given, as well as a procedure to derive simulation parameters automatically from circuit netlists. Furthermore, a related nonlinear discrete-time state-space algorithm is proposed to alleviate problems in solving particular circuit configurations. These methods were devised to solve non-convergence problems in the simulation of strongly saturated, nonparametric guitar distortion circuits such as the saturating diode clipper, which is presented as an example derivation. Experimental considerations and sonic performance on various other circuits will be presented in a subsequent paper.
Keywords :
acoustic signal processing; musical acoustics; nonlinear filters; digitally emulating analog musical effects; musical acoustics; nonlinear audio circuits; nonlinear discrete-time state-space algorithm; nonlinear filters; nonparametric guitar distortion circuits; real-time audio effects; saturating diode clipper; Amplifier modeling; K-method; circuit simulation; digital audio effects; guitar distortion; nonlinear filters; physical modeling synthesis; virtual analog;
fLanguage :
English
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1558-7916
Type :
jour
DOI :
10.1109/TASL.2009.2033978
Filename :
5280324
Link To Document :
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