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A. Primavera, S. Cecchi, L. Romoli, M. Gasparini, and F. Piazza, "Approximation of Dynamic Convolution Exploiting Principal Component Analysis: Objective and Subjective Quality Evaluation," Paper 8792, (2012 October.). doi: A. Primavera, S. Cecchi, L. Romoli, M. Gasparini, and F. Piazza, "Approximation of Dynamic Convolution Exploiting Principal Component Analysis: Objective and Subjective Quality Evaluation," Paper 8792, (2012 October.). doi:
Abstract: In recent years, several techniques have been proposed in the literature in order to attempt the emulation of nonlinear electro-acoustic devices, such as compressors, distortions, and preamplifiers. Among them, the dynamic convolution technique is one of the most common approaches used to perform this task. In this paper an exhaustive objective and subjective analysis of a dynamic convolution operation based on principal components analysis has been performed. Taking into consideration real nonlinear systems, such as bass preamplifier, distortion, and compressor, comparisons with the existing techniques of the state of the art have been carried out in order to prove the effectiveness of the proposed approach.

@article{primavera2012approximation,
author={primavera, andrea and cecchi, stefania and romoli, laura and gasparini, michele and piazza, francesco},
journal={journal of the audio engineering society},
title={approximation of dynamic convolution exploiting principal component analysis: objective and subjective quality evaluation},
year={2012},
volume={},
number={},
pages={},
doi={},
month={october},} @article{primavera2012approximation,
author={primavera, andrea and cecchi, stefania and romoli, laura and gasparini, michele and piazza, francesco},
journal={journal of the audio engineering society},
title={approximation of dynamic convolution exploiting principal component analysis: objective and subjective quality evaluation},
year={2012},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={in recent years, several techniques have been proposed in the literature in order to attempt the emulation of nonlinear electro-acoustic devices, such as compressors, distortions, and preamplifiers. among them, the dynamic convolution technique is one of the most common approaches used to perform this task. in this paper an exhaustive objective and subjective analysis of a dynamic convolution operation based on principal components analysis has been performed. taking into consideration real nonlinear systems, such as bass preamplifier, distortion, and compressor, comparisons with the existing techniques of the state of the art have been carried out in order to prove the effectiveness of the proposed approach.},}

TY - paper
TI - Approximation of Dynamic Convolution Exploiting Principal Component Analysis: Objective and Subjective Quality Evaluation
SP - EP -
AU - Primavera, Andrea
AU - Cecchi, Stefania
AU - Romoli, Laura
AU - Gasparini, Michele
AU - Piazza, Francesco
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2012 TY - paper
TI - Approximation of Dynamic Convolution Exploiting Principal Component Analysis: Objective and Subjective Quality Evaluation
SP - EP -
AU - Primavera, Andrea
AU - Cecchi, Stefania
AU - Romoli, Laura
AU - Gasparini, Michele
AU - Piazza, Francesco
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2012
AB - In recent years, several techniques have been proposed in the literature in order to attempt the emulation of nonlinear electro-acoustic devices, such as compressors, distortions, and preamplifiers. Among them, the dynamic convolution technique is one of the most common approaches used to perform this task. In this paper an exhaustive objective and subjective analysis of a dynamic convolution operation based on principal components analysis has been performed. Taking into consideration real nonlinear systems, such as bass preamplifier, distortion, and compressor, comparisons with the existing techniques of the state of the art have been carried out in order to prove the effectiveness of the proposed approach.