Modeling the Large Signal Behavior of Micro-Speakers
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W. Klippel, "Modeling the Large Signal Behavior of Micro-Speakers," Paper 8749, (2012 October.). doi:
W. Klippel, "Modeling the Large Signal Behavior of Micro-Speakers," Paper 8749, (2012 October.). doi:
Abstract: The mechanical and acoustical losses considered in the lumped parameter modeling of electro-dynamical transducers may become a dominant source of nonlinear distortion in micro-speakers, tweeters, headphones, and some horn compression drivers where the total quality factor Qts is not dominated by the electrical damping realized by a high force factor Bl and a low voice resistance Re. This paper presents a nonlinear model describing the generation of the distortion and a new dynamic measurement technique for identifying the nonlinear resistance Rms(v) as a function of voice coil velocity v. The theory and the identification technique are verified by comparing distortion and other nonlinear symptoms measured on micro-speakers as used in cellular phones with the corresponding behavior predicted by the nonlinear model.
@article{klippel2012modeling,
author={klippel, wolfgang},
journal={journal of the audio engineering society},
title={modeling the large signal behavior of micro-speakers},
year={2012},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{klippel2012modeling,
author={klippel, wolfgang},
journal={journal of the audio engineering society},
title={modeling the large signal behavior of micro-speakers},
year={2012},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={the mechanical and acoustical losses considered in the lumped parameter modeling of electro-dynamical transducers may become a dominant source of nonlinear distortion in micro-speakers, tweeters, headphones, and some horn compression drivers where the total quality factor qts is not dominated by the electrical damping realized by a high force factor bl and a low voice resistance re. this paper presents a nonlinear model describing the generation of the distortion and a new dynamic measurement technique for identifying the nonlinear resistance rms(v) as a function of voice coil velocity v. the theory and the identification technique are verified by comparing distortion and other nonlinear symptoms measured on micro-speakers as used in cellular phones with the corresponding behavior predicted by the nonlinear model.},}
TY - paper
TI - Modeling the Large Signal Behavior of Micro-Speakers
SP -
EP -
AU - Klippel, Wolfgang
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2012
TY - paper
TI - Modeling the Large Signal Behavior of Micro-Speakers
SP -
EP -
AU - Klippel, Wolfgang
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2012
AB - The mechanical and acoustical losses considered in the lumped parameter modeling of electro-dynamical transducers may become a dominant source of nonlinear distortion in micro-speakers, tweeters, headphones, and some horn compression drivers where the total quality factor Qts is not dominated by the electrical damping realized by a high force factor Bl and a low voice resistance Re. This paper presents a nonlinear model describing the generation of the distortion and a new dynamic measurement technique for identifying the nonlinear resistance Rms(v) as a function of voice coil velocity v. The theory and the identification technique are verified by comparing distortion and other nonlinear symptoms measured on micro-speakers as used in cellular phones with the corresponding behavior predicted by the nonlinear model.
The mechanical and acoustical losses considered in the lumped parameter modeling of electro-dynamical transducers may become a dominant source of nonlinear distortion in micro-speakers, tweeters, headphones, and some horn compression drivers where the total quality factor Qts is not dominated by the electrical damping realized by a high force factor Bl and a low voice resistance Re. This paper presents a nonlinear model describing the generation of the distortion and a new dynamic measurement technique for identifying the nonlinear resistance Rms(v) as a function of voice coil velocity v. The theory and the identification technique are verified by comparing distortion and other nonlinear symptoms measured on micro-speakers as used in cellular phones with the corresponding behavior predicted by the nonlinear model.
Author:
Klippel, Wolfgang
Affiliation:
Klippel GmbH, Dresden, Germany
AES Convention:
133 (October 2012)
Paper Number:
8749
Publication Date:
October 25, 2012Import into BibTeX
Subject:
Transducers
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=16491