Static and Dynamic Signal Processing Methods for Noise Cancellation in Sound and Electromagnetic Environment
Summary :
The observed phenomena in actual sound and electromagnetic environment are inevitably contaminated by the background noise of arbitrary distribution type. Therefore, in order to evaluate sound and electromagnetic environment, it is necessary to establish some signal processing methods to remove the undesirable effects of the background noise. In this paper, we propose noise cancellation methods for estimating a specific signal with the existence of background noise of non-Gaussian distribution from two viewpoins of static and dynamic signal processing. By applying the well-known least mean squared method for the moment statistics with several orders, practical methods for estimating the specific signal are derived. The effectiveness of the proposed theoretical methods is experimentally confirmed by applying them to estimation problems in actual sound and magnetic field environment.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.3 pp.753-761
- Publication Date
- 2009/03/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E92.A.753
- Type of Manuscript
- Special Section PAPER (Special Section on Latest Advances in Fundamental Theories of Signal Processing)
- Category
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Hisako MASUIKE, Akira IKUTA, "Static and Dynamic Signal Processing Methods for Noise Cancellation in Sound and Electromagnetic Environment" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 3, pp. 753-761, March 2009, doi: 10.1587/transfun.E92.A.753.
Abstract: The observed phenomena in actual sound and electromagnetic environment are inevitably contaminated by the background noise of arbitrary distribution type. Therefore, in order to evaluate sound and electromagnetic environment, it is necessary to establish some signal processing methods to remove the undesirable effects of the background noise. In this paper, we propose noise cancellation methods for estimating a specific signal with the existence of background noise of non-Gaussian distribution from two viewpoins of static and dynamic signal processing. By applying the well-known least mean squared method for the moment statistics with several orders, practical methods for estimating the specific signal are derived. The effectiveness of the proposed theoretical methods is experimentally confirmed by applying them to estimation problems in actual sound and magnetic field environment.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.753/_p
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@ARTICLE{e92-a_3_753,
author={Hisako MASUIKE, Akira IKUTA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Static and Dynamic Signal Processing Methods for Noise Cancellation in Sound and Electromagnetic Environment},
year={2009},
volume={E92-A},
number={3},
pages={753-761},
abstract={The observed phenomena in actual sound and electromagnetic environment are inevitably contaminated by the background noise of arbitrary distribution type. Therefore, in order to evaluate sound and electromagnetic environment, it is necessary to establish some signal processing methods to remove the undesirable effects of the background noise. In this paper, we propose noise cancellation methods for estimating a specific signal with the existence of background noise of non-Gaussian distribution from two viewpoins of static and dynamic signal processing. By applying the well-known least mean squared method for the moment statistics with several orders, practical methods for estimating the specific signal are derived. The effectiveness of the proposed theoretical methods is experimentally confirmed by applying them to estimation problems in actual sound and magnetic field environment.},
keywords={},
doi={10.1587/transfun.E92.A.753},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - Static and Dynamic Signal Processing Methods for Noise Cancellation in Sound and Electromagnetic Environment
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 753
EP - 761
AU - Hisako MASUIKE
AU - Akira IKUTA
PY - 2009
DO - 10.1587/transfun.E92.A.753
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2009
AB - The observed phenomena in actual sound and electromagnetic environment are inevitably contaminated by the background noise of arbitrary distribution type. Therefore, in order to evaluate sound and electromagnetic environment, it is necessary to establish some signal processing methods to remove the undesirable effects of the background noise. In this paper, we propose noise cancellation methods for estimating a specific signal with the existence of background noise of non-Gaussian distribution from two viewpoins of static and dynamic signal processing. By applying the well-known least mean squared method for the moment statistics with several orders, practical methods for estimating the specific signal are derived. The effectiveness of the proposed theoretical methods is experimentally confirmed by applying them to estimation problems in actual sound and magnetic field environment.
ER -
English
