Inverse Filters for Multi-Channel Sound Reproduction

Philip A. NELSON; Hareo HAMADA; Stephen J. ELLIOTT

Inverse Filters for Multi-Channel Sound Reproduction

Philip A. NELSON, Hareo HAMADA, Stephen J. ELLIOTT

Full Text Views

0

Cite this

Summary :

Inverse filters can be designed in order to enhance the accuracy with which signals recorded in a given space can be reproduced in a given listening space. The problem is considered here of the design of an inverse filter matrix which enables K recorded signals to be accurately reproduced at K points in the listening space when transmitted via M loudspeaker channels. The analysis is sufficiently general to incorporate the case when the best (least squares) approximation is sought to the reproduction of K signals at L points in the space when LK. An analysis is presented which demonstrates that the approach suggested by the Multiple-Input/Output Inverse Filtering theorem of Miyoshi and Kaneda can be realised adaptively by using the Multiple Error LMS algorithm of Elliott et al.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E75-A No.11 pp.1468-1473

Publication Date: 1992/11/25

Publicized

Online ISSN

DOI

Type of Manuscript: Special Section PAPER (Special Section on Acoustic System Modeling and Signal Processing)

Category

Cite this

Copy

Philip A. NELSON, Hareo HAMADA, Stephen J. ELLIOTT, "Inverse Filters for Multi-Channel Sound Reproduction" in IEICE TRANSACTIONS on Fundamentals, vol. E75-A, no. 11, pp. 1468-1473, November 1992, doi: .
Abstract: Inverse filters can be designed in order to enhance the accuracy with which signals recorded in a given space can be reproduced in a given listening space. The problem is considered here of the design of an inverse filter matrix which enables K recorded signals to be accurately reproduced at K points in the listening space when transmitted via M loudspeaker channels. The analysis is sufficiently general to incorporate the case when the best (least squares) approximation is sought to the reproduction of K signals at L points in the space when LK. An analysis is presented which demonstrates that the approach suggested by the Multiple-Input/Output Inverse Filtering theorem of Miyoshi and Kaneda can be realised adaptively by using the Multiple Error LMS algorithm of Elliott et al.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e75-a_11_1468/_p

Copy

@ARTICLE{e75-a_11_1468,
author={Philip A. NELSON, Hareo HAMADA, Stephen J. ELLIOTT, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Inverse Filters for Multi-Channel Sound Reproduction},
year={1992},
volume={E75-A},
number={11},
pages={1468-1473},
abstract={Inverse filters can be designed in order to enhance the accuracy with which signals recorded in a given space can be reproduced in a given listening space. The problem is considered here of the design of an inverse filter matrix which enables K recorded signals to be accurately reproduced at K points in the listening space when transmitted via M loudspeaker channels. The analysis is sufficiently general to incorporate the case when the best (least squares) approximation is sought to the reproduction of K signals at L points in the space when LK. An analysis is presented which demonstrates that the approach suggested by the Multiple-Input/Output Inverse Filtering theorem of Miyoshi and Kaneda can be realised adaptively by using the Multiple Error LMS algorithm of Elliott et al.},
keywords={},
doi={},
ISSN={},
month={November},}

Copy

TY - JOUR
TI - Inverse Filters for Multi-Channel Sound Reproduction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1468
EP - 1473
AU - Philip A. NELSON
AU - Hareo HAMADA
AU - Stephen J. ELLIOTT
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E75-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1992
AB - Inverse filters can be designed in order to enhance the accuracy with which signals recorded in a given space can be reproduced in a given listening space. The problem is considered here of the design of an inverse filter matrix which enables K recorded signals to be accurately reproduced at K points in the listening space when transmitted via M loudspeaker channels. The analysis is sufficiently general to incorporate the case when the best (least squares) approximation is sought to the reproduction of K signals at L points in the space when LK. An analysis is presented which demonstrates that the approach suggested by the Multiple-Input/Output Inverse Filtering theorem of Miyoshi and Kaneda can be realised adaptively by using the Multiple Error LMS algorithm of Elliott et al.
ER -