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Blind Source Separation Applied to Indoor Vehicle Pass-By Measurements

Journal Article
2015-01-2320
ISSN: 1946-3995, e-ISSN: 1946-4002
DOI: https://doi.org/10.4271/2015-01-2320
Published June 15, 2015 by SAE International in United States
Blind Source Separation Applied to Indoor Vehicle Pass-By Measurements
Sector:
Citation: Schuhmacher, A., "Blind Source Separation Applied to Indoor Vehicle Pass-By Measurements," SAE Int. J. Passeng. Cars - Mech. Syst. 8(3):1034-1041, 2015, https://doi.org/10.4271/2015-01-2320.
Language: English

References

  1. ISO 362 Acoustics - Measurement of noise emitted by accelerating road vehicles - Engineering method International Organization for Standardization (ISO)
  2. Verheij J. W. Inverse and reciprocity methods for machinery noise source characterization and sound path quantification. Part 1: Sources Int. Journal of Acoustics and Vibration 2 1 1997 11 20
  3. Verheij J. W. Inverse and reciprocity methods for machinery noise source characterization and sound path quantification. Part 2: Transmission Paths Int. Journal of Acoustics and Vibration 2 3 1997 103 112
  4. Schuhmacher A. , Shirahashi Y. , Hirayama M. , Ryu Y. Indoor pass-by noise contribution analysis using source path contribution concept Proceedings of the 2012 International Conference on Modal Analysis Noise and Vibration Engineering (ISMA) Leuven 2012 3697 3709
  5. Comon P. , Jutten C. Handbook of blind source separation Academic Press New York 2010
  6. Abed-Meraim K. , Moulines E. Prediction error method for second-order blind identification IEEE Trans. Signal Processing 45 3 1997 694 705
  7. Hansen L.K. , Dyrholm M. A prediction matrix approach to convolutive ica Molina C. et al. Proceedings of IEEE Workshop on Neural Networks for Signal Processing XIII Toulouse 2003 249 258
  8. Kokkinakis K. , Loizou P. Subband-based blind signal processing for source separation in convolutive mixtures of speech Proceeding of IEEE International Conference on Acoustics, Speech and Signal Processing Honolulu 2007 917 920

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