Block-based physical modeling is a methodology for modeling physical systems with different subsystems. Each subsystem may be modeled according to a different paradigm. Connecting systems of diverse nature in the discrete-time domain requires a unified interconnection strategy. Such a strategy is provided by the well-known wave digital principle, which has been introduced initially for the design of digital filters. The use of wave variables for the interconnection network avoids the formation of delay free loops and yields computable algorithms. This contribution describes the wave digital principle as a starting point for the more general idea of block-based physical modeling. It is shown how arbitrary discrete-time state space representations can communicate via wave variables. A series of examples explain how to combine linear and nonlinear blocks, lumped and distributed parameter systems, and how to model complex geometries from simpler blocks.
Block-based physical modeling for digital sound synthesis
SARTI, AUGUSTO;
2007-01-01
Abstract
Block-based physical modeling is a methodology for modeling physical systems with different subsystems. Each subsystem may be modeled according to a different paradigm. Connecting systems of diverse nature in the discrete-time domain requires a unified interconnection strategy. Such a strategy is provided by the well-known wave digital principle, which has been introduced initially for the design of digital filters. The use of wave variables for the interconnection network avoids the formation of delay free loops and yields computable algorithms. This contribution describes the wave digital principle as a starting point for the more general idea of block-based physical modeling. It is shown how arbitrary discrete-time state space representations can communicate via wave variables. A series of examples explain how to combine linear and nonlinear blocks, lumped and distributed parameter systems, and how to model complex geometries from simpler blocks.File | Dimensione | Formato | |
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2007_IEEE_SPMag_object-based_sound_synthesis.pdf
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