A Two-Dimensional Clustering Approach to the Analysis of Audible Noises Induced at Telephone Terminals

Masao MASUGI; Kimihiro TAJIMA; Hiroshi YAMANE; Kazuo MURAKAWA

doi:10.1093/ietcom/e89-b.5.1662

A Two-Dimensional Clustering Approach to the Analysis of Audible Noises Induced at Telephone Terminals

Masao MASUGI, Kimihiro TAJIMA, Hiroshi YAMANE, Kazuo MURAKAWA

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This paper describes a two-dimensional clustering scheme-based analysis of audible noises induced at telephone terminals. To analyze EMI sources that cause telephone-audible noise, we use a self-organizing map, which provides a way to map high-dimensional data onto a two-dimensional domain. Also, in order to discriminate EMI sources without using particular resonance frequencies that have peaks in the frequency domain, we use the energy spectra of telephone-audible noises as input for training the self-organizing map. In applying this method in actual environments, we measured ten kinds of telephone-audible noises (due to Radio waves and cross-talk noises, etc.) and then derived their energy spectra for eight frequency bands: 1-250 Hz, 250-500 Hz, 500-1 kHz, 1 k-1.5 kHz, 1.5 k-2 kHz, 2 k-3 kHz, 3 k-4 kHz, and over 4 kHz. We visually confirmed that the measured telephone-audible noise data could be projected onto the map in accordance with their properties, resulting in a combined depiction of the composition of derived energy spectra in the frequency bands. The proposed method can deal with multi-dimensional parameters, projecting its results onto a two-dimensional space in which the projected data positions give us an effective depiction of EMI sources that cause disturbances at telephone terminals.

Publication: IEICE TRANSACTIONS on Communications Vol.E89-B No.5 pp.1662-1671

Publication Date: 2006/05/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e89-b.5.1662

Type of Manuscript: PAPER

Category: Electromagnetic Compatibility(EMC)

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Masao MASUGI, Kimihiro TAJIMA, Hiroshi YAMANE, Kazuo MURAKAWA, "A Two-Dimensional Clustering Approach to the Analysis of Audible Noises Induced at Telephone Terminals" in IEICE TRANSACTIONS on Communications, vol. E89-B, no. 5, pp. 1662-1671, May 2006, doi: 10.1093/ietcom/e89-b.5.1662.
Abstract: This paper describes a two-dimensional clustering scheme-based analysis of audible noises induced at telephone terminals. To analyze EMI sources that cause telephone-audible noise, we use a self-organizing map, which provides a way to map high-dimensional data onto a two-dimensional domain. Also, in order to discriminate EMI sources without using particular resonance frequencies that have peaks in the frequency domain, we use the energy spectra of telephone-audible noises as input for training the self-organizing map. In applying this method in actual environments, we measured ten kinds of telephone-audible noises (due to Radio waves and cross-talk noises, etc.) and then derived their energy spectra for eight frequency bands: 1-250 Hz, 250-500 Hz, 500-1 kHz, 1 k-1.5 kHz, 1.5 k-2 kHz, 2 k-3 kHz, 3 k-4 kHz, and over 4 kHz. We visually confirmed that the measured telephone-audible noise data could be projected onto the map in accordance with their properties, resulting in a combined depiction of the composition of derived energy spectra in the frequency bands. The proposed method can deal with multi-dimensional parameters, projecting its results onto a two-dimensional space in which the projected data positions give us an effective depiction of EMI sources that cause disturbances at telephone terminals.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.5.1662/_p

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@ARTICLE{e89-b_5_1662,
author={Masao MASUGI, Kimihiro TAJIMA, Hiroshi YAMANE, Kazuo MURAKAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Two-Dimensional Clustering Approach to the Analysis of Audible Noises Induced at Telephone Terminals},
year={2006},
volume={E89-B},
number={5},
pages={1662-1671},
abstract={This paper describes a two-dimensional clustering scheme-based analysis of audible noises induced at telephone terminals. To analyze EMI sources that cause telephone-audible noise, we use a self-organizing map, which provides a way to map high-dimensional data onto a two-dimensional domain. Also, in order to discriminate EMI sources without using particular resonance frequencies that have peaks in the frequency domain, we use the energy spectra of telephone-audible noises as input for training the self-organizing map. In applying this method in actual environments, we measured ten kinds of telephone-audible noises (due to Radio waves and cross-talk noises, etc.) and then derived their energy spectra for eight frequency bands: 1-250 Hz, 250-500 Hz, 500-1 kHz, 1 k-1.5 kHz, 1.5 k-2 kHz, 2 k-3 kHz, 3 k-4 kHz, and over 4 kHz. We visually confirmed that the measured telephone-audible noise data could be projected onto the map in accordance with their properties, resulting in a combined depiction of the composition of derived energy spectra in the frequency bands. The proposed method can deal with multi-dimensional parameters, projecting its results onto a two-dimensional space in which the projected data positions give us an effective depiction of EMI sources that cause disturbances at telephone terminals.},
keywords={},
doi={10.1093/ietcom/e89-b.5.1662},
ISSN={1745-1345},
month={May},}

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TY - JOUR
TI - A Two-Dimensional Clustering Approach to the Analysis of Audible Noises Induced at Telephone Terminals
T2 - IEICE TRANSACTIONS on Communications
SP - 1662
EP - 1671
AU - Masao MASUGI
AU - Kimihiro TAJIMA
AU - Hiroshi YAMANE
AU - Kazuo MURAKAWA
PY - 2006
DO - 10.1093/ietcom/e89-b.5.1662
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2006
AB - This paper describes a two-dimensional clustering scheme-based analysis of audible noises induced at telephone terminals. To analyze EMI sources that cause telephone-audible noise, we use a self-organizing map, which provides a way to map high-dimensional data onto a two-dimensional domain. Also, in order to discriminate EMI sources without using particular resonance frequencies that have peaks in the frequency domain, we use the energy spectra of telephone-audible noises as input for training the self-organizing map. In applying this method in actual environments, we measured ten kinds of telephone-audible noises (due to Radio waves and cross-talk noises, etc.) and then derived their energy spectra for eight frequency bands: 1-250 Hz, 250-500 Hz, 500-1 kHz, 1 k-1.5 kHz, 1.5 k-2 kHz, 2 k-3 kHz, 3 k-4 kHz, and over 4 kHz. We visually confirmed that the measured telephone-audible noise data could be projected onto the map in accordance with their properties, resulting in a combined depiction of the composition of derived energy spectra in the frequency bands. The proposed method can deal with multi-dimensional parameters, projecting its results onto a two-dimensional space in which the projected data positions give us an effective depiction of EMI sources that cause disturbances at telephone terminals.
ER -