Linearization of Loudspeaker Systems Using a Subband Parallel Cascade Volterra Filter
Summary :
In this paper, we propose a low complexity realization method for compensating for nonlinear distortion. Generally, nonlinear distortion is compensated for by a linearization system using a Volterra kernel. However, this method has a problem of requiring a huge computational complexity for the convolution needed between an input signal and the 2nd-order Volterra kernel. The Simplified Volterra Filter (SVF), which removes the lines along the main diagonal of the 2nd-order Volterra kernel, has been previously proposed as a way to reduce the computational complexity while maintaining the compensation performance for the nonlinear distortion. However, this method cannot greatly reduce the computational complexity. Hence, we propose a subband linearization system which consists of a subband parallel cascade realization method for the 2nd-order Volterra kernel and subband linear inverse filter. Experimental results show that this proposed linearization system can produce the same compensation ability as the conventional method while reducing the computational complexity.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.8 pp.1616-1619
- Publication Date
- 2007/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e90-a.8.1616
- Type of Manuscript
- Special Section LETTER (Special Section on Papers Selected from the 21st Symposium on Signal Processing)
- Category
Authors
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Hideyuki FURUHASHI, Yoshinobu KAJIKAWA, Yasuo NOMURA, "Linearization of Loudspeaker Systems Using a Subband Parallel Cascade Volterra Filter" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 8, pp. 1616-1619, August 2007, doi: 10.1093/ietfec/e90-a.8.1616.
Abstract: In this paper, we propose a low complexity realization method for compensating for nonlinear distortion. Generally, nonlinear distortion is compensated for by a linearization system using a Volterra kernel. However, this method has a problem of requiring a huge computational complexity for the convolution needed between an input signal and the 2nd-order Volterra kernel. The Simplified Volterra Filter (SVF), which removes the lines along the main diagonal of the 2nd-order Volterra kernel, has been previously proposed as a way to reduce the computational complexity while maintaining the compensation performance for the nonlinear distortion. However, this method cannot greatly reduce the computational complexity. Hence, we propose a subband linearization system which consists of a subband parallel cascade realization method for the 2nd-order Volterra kernel and subband linear inverse filter. Experimental results show that this proposed linearization system can produce the same compensation ability as the conventional method while reducing the computational complexity.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.8.1616/_p
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@ARTICLE{e90-a_8_1616,
author={Hideyuki FURUHASHI, Yoshinobu KAJIKAWA, Yasuo NOMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Linearization of Loudspeaker Systems Using a Subband Parallel Cascade Volterra Filter},
year={2007},
volume={E90-A},
number={8},
pages={1616-1619},
abstract={In this paper, we propose a low complexity realization method for compensating for nonlinear distortion. Generally, nonlinear distortion is compensated for by a linearization system using a Volterra kernel. However, this method has a problem of requiring a huge computational complexity for the convolution needed between an input signal and the 2nd-order Volterra kernel. The Simplified Volterra Filter (SVF), which removes the lines along the main diagonal of the 2nd-order Volterra kernel, has been previously proposed as a way to reduce the computational complexity while maintaining the compensation performance for the nonlinear distortion. However, this method cannot greatly reduce the computational complexity. Hence, we propose a subband linearization system which consists of a subband parallel cascade realization method for the 2nd-order Volterra kernel and subband linear inverse filter. Experimental results show that this proposed linearization system can produce the same compensation ability as the conventional method while reducing the computational complexity.},
keywords={},
doi={10.1093/ietfec/e90-a.8.1616},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Linearization of Loudspeaker Systems Using a Subband Parallel Cascade Volterra Filter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1616
EP - 1619
AU - Hideyuki FURUHASHI
AU - Yoshinobu KAJIKAWA
AU - Yasuo NOMURA
PY - 2007
DO - 10.1093/ietfec/e90-a.8.1616
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2007
AB - In this paper, we propose a low complexity realization method for compensating for nonlinear distortion. Generally, nonlinear distortion is compensated for by a linearization system using a Volterra kernel. However, this method has a problem of requiring a huge computational complexity for the convolution needed between an input signal and the 2nd-order Volterra kernel. The Simplified Volterra Filter (SVF), which removes the lines along the main diagonal of the 2nd-order Volterra kernel, has been previously proposed as a way to reduce the computational complexity while maintaining the compensation performance for the nonlinear distortion. However, this method cannot greatly reduce the computational complexity. Hence, we propose a subband linearization system which consists of a subband parallel cascade realization method for the 2nd-order Volterra kernel and subband linear inverse filter. Experimental results show that this proposed linearization system can produce the same compensation ability as the conventional method while reducing the computational complexity.
ER -
English
