A Fast Algorithm for the Sound Projection Using Multiple Sources

Yuan WEN; Woon-Seng GAN; Jun YANG

doi:10.1093/ietfec/e88-a.7.1765

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Yuan WEN, Woon-Seng GAN, Jun YANG, "A Fast Algorithm for the Sound Projection Using Multiple Sources" in IEICE TRANSACTIONS on Fundamentals, vol. E88-A, no. 7, pp. 1765-1766, July 2005, doi: 10.1093/ietfec/e88-a.7.1765.
Abstract: An algorithm for the sound projection using multiple sources is presented. The source strength vector is obtained by using a fast estimation approach instead of the conventional eigenvalue decomposition (EVD) method. The computation load is therefore greatly reduced, which makes the algorithm more efficient in practical applications.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.7.1765/_p

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@ARTICLE{e88-a_7_1765,
author={Yuan WEN, Woon-Seng GAN, Jun YANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fast Algorithm for the Sound Projection Using Multiple Sources},
year={2005},
volume={E88-A},
number={7},
pages={1765-1766},
abstract={An algorithm for the sound projection using multiple sources is presented. The source strength vector is obtained by using a fast estimation approach instead of the conventional eigenvalue decomposition (EVD) method. The computation load is therefore greatly reduced, which makes the algorithm more efficient in practical applications.},
keywords={},
doi={10.1093/ietfec/e88-a.7.1765},
ISSN={},
month={July},}

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TY - JOUR
TI - A Fast Algorithm for the Sound Projection Using Multiple Sources
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1765
EP - 1766
AU - Yuan WEN
AU - Woon-Seng GAN
AU - Jun YANG
PY - 2005
DO - 10.1093/ietfec/e88-a.7.1765
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2005
AB - An algorithm for the sound projection using multiple sources is presented. The source strength vector is obtained by using a fast estimation approach instead of the conventional eigenvalue decomposition (EVD) method. The computation load is therefore greatly reduced, which makes the algorithm more efficient in practical applications.
ER -