Noise Reduction Performance of Various Signals for Impulse Response Measurement
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Y. Kaneda, "Noise Reduction Performance of Various Signals for Impulse Response Measurement," J. Audio Eng. Soc., vol. 63, no. 5, pp. 348-357, (2015 May.). doi: https://doi.org/10.17743/jaes.2015.0024
Y. Kaneda, "Noise Reduction Performance of Various Signals for Impulse Response Measurement," J. Audio Eng. Soc., vol. 63 Issue 5 pp. 348-357, (2015 May.). doi: https://doi.org/10.17743/jaes.2015.0024
Abstract: When measuring the acoustic impulse response in a real environment, acoustic and electrical noise corrupts the result. To improve the quality of measurements, researchers often use various excitation measurement signals, such as a linearly swept sine (SS) wave or a maximum length sequence (MLS) signal because they have high energy at all frequencies. But when the noise is dominated by low-frequency components, the S/N in this region is reduced. In this study, the noise reduction performance (NRP) of different excitation signals was theoretically examined to derive equations that can determine the NRP from the spectra of the measurement signal and noise. From the theoretical and experimental examinations, the following results were obtained. The NPR for white signals and noise-whitening signals is actually the same. Only the minimum noise (MN) signal that minimizes the noise component showed a significant improvement in NPR. A pink spectrum measurement signal showed good NPR in the presence of 1/k2 spectrum noise, where k is the discrete frequency number, but worse performance with other types of noise. This supports the conclusion that using the MN signal, which has a power spectrum that is the square root of the power spectrum of the noise, is the best method of reducing the effect of noise on the measured impulse response.
@article{kaneda2015noise,
author={kaneda, yutaka},
journal={journal of the audio engineering society},
title={noise reduction performance of various signals for impulse response measurement},
year={2015},
volume={63},
number={5},
pages={348-357},
doi={https://doi.org/10.17743/jaes.2015.0024},
month={may},}
@article{kaneda2015noise,
author={kaneda, yutaka},
journal={journal of the audio engineering society},
title={noise reduction performance of various signals for impulse response measurement},
year={2015},
volume={63},
number={5},
pages={348-357},
doi={https://doi.org/10.17743/jaes.2015.0024},
month={may},
abstract={when measuring the acoustic impulse response in a real environment, acoustic and electrical noise corrupts the result. to improve the quality of measurements, researchers often use various excitation measurement signals, such as a linearly swept sine (ss) wave or a maximum length sequence (mls) signal because they have high energy at all frequencies. but when the noise is dominated by low-frequency components, the s/n in this region is reduced. in this study, the noise reduction performance (nrp) of different excitation signals was theoretically examined to derive equations that can determine the nrp from the spectra of the measurement signal and noise. from the theoretical and experimental examinations, the following results were obtained. the npr for white signals and noise-whitening signals is actually the same. only the minimum noise (mn) signal that minimizes the noise component showed a significant improvement in npr. a pink spectrum measurement signal showed good npr in the presence of 1/k2 spectrum noise, where k is the discrete frequency number, but worse performance with other types of noise. this supports the conclusion that using the mn signal, which has a power spectrum that is the square root of the power spectrum of the noise, is the best method of reducing the effect of noise on the measured impulse response.},}
TY - paper
TI - Noise Reduction Performance of Various Signals for Impulse Response Measurement
SP - 348
EP - 357
AU - Kaneda, Yutaka
PY - 2015
JO - Journal of the Audio Engineering Society
IS - 5
VO - 63
VL - 63
Y1 - May 2015
TY - paper
TI - Noise Reduction Performance of Various Signals for Impulse Response Measurement
SP - 348
EP - 357
AU - Kaneda, Yutaka
PY - 2015
JO - Journal of the Audio Engineering Society
IS - 5
VO - 63
VL - 63
Y1 - May 2015
AB - When measuring the acoustic impulse response in a real environment, acoustic and electrical noise corrupts the result. To improve the quality of measurements, researchers often use various excitation measurement signals, such as a linearly swept sine (SS) wave or a maximum length sequence (MLS) signal because they have high energy at all frequencies. But when the noise is dominated by low-frequency components, the S/N in this region is reduced. In this study, the noise reduction performance (NRP) of different excitation signals was theoretically examined to derive equations that can determine the NRP from the spectra of the measurement signal and noise. From the theoretical and experimental examinations, the following results were obtained. The NPR for white signals and noise-whitening signals is actually the same. Only the minimum noise (MN) signal that minimizes the noise component showed a significant improvement in NPR. A pink spectrum measurement signal showed good NPR in the presence of 1/k2 spectrum noise, where k is the discrete frequency number, but worse performance with other types of noise. This supports the conclusion that using the MN signal, which has a power spectrum that is the square root of the power spectrum of the noise, is the best method of reducing the effect of noise on the measured impulse response.
When measuring the acoustic impulse response in a real environment, acoustic and electrical noise corrupts the result. To improve the quality of measurements, researchers often use various excitation measurement signals, such as a linearly swept sine (SS) wave or a maximum length sequence (MLS) signal because they have high energy at all frequencies. But when the noise is dominated by low-frequency components, the S/N in this region is reduced. In this study, the noise reduction performance (NRP) of different excitation signals was theoretically examined to derive equations that can determine the NRP from the spectra of the measurement signal and noise. From the theoretical and experimental examinations, the following results were obtained. The NPR for white signals and noise-whitening signals is actually the same. Only the minimum noise (MN) signal that minimizes the noise component showed a significant improvement in NPR. A pink spectrum measurement signal showed good NPR in the presence of 1/k2 spectrum noise, where k is the discrete frequency number, but worse performance with other types of noise. This supports the conclusion that using the MN signal, which has a power spectrum that is the square root of the power spectrum of the noise, is the best method of reducing the effect of noise on the measured impulse response.
Open Access
Author:
Kaneda, Yutaka
Affiliation:
Department of Information and Communication Engineering, Faculty of Engineering, Tokyo Denki University, Adachi-ku, Tokyo, Japan JAES Volume 63 Issue 5 pp. 348-357; May 2015
Publication Date:
May 22, 2015Import into BibTeX
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http://www.aes.org/e-lib/browse.cfm?elib=17640