Applications of digital signal processing to audio and acoustics
Applications of digital signal processing to audio and acoustics
Musical Signal Processing
A Waveguide Model for Slapbass Synthesis
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
Physical modeling of drums by transfer function methods
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
AudioBIFS: Describing audio scenes with the MPEG-4 multimediastandard
IEEE Transactions on Multimedia
Discrete Simulation of a Class of Distributed Systems Using Functional Analytic Methods
Multidimensional Systems and Signal Processing
EURASIP Journal on Applied Signal Processing
Systematic methods for the implementation of nonlinear wave-digital structures
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Player-instrument interaction models for digital waveguide synthesis of guitar: touch and collisions
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on virtual analog audio Effects and musical instruments
Tubular bells: a physical and algorithmic model
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on virtual analog audio Effects and musical instruments
A modular physically based approach to the sound synthesis of membrane percussion instruments
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on virtual analog audio Effects and musical instruments
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The theory of multidimensional continuous and discrete systems is applied to derive a parametric description of musical sounds from a physical model of real or virtual string instruments. The mathematical representation of this model is given by a partial differential equation for a vibrating string. Suitable functional transformations with respect to time and space turn this partial differential equation into a multidimensional transfer function. It is the starting point for the derivation of a discrete-time system by classical analog to discrete transformations. The coefficients of this discrete model depend explicitly on the geometric properties and material constants of the underlying physical model. This ensures a meaningful behaviour of the discrete system under varying conditions and allows for an intuitive control by the user. Furthermore, the performance of real-time implementations is discussed. Finally, several extensions of this synthesis method for computer music applications are presented.