• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1988 …2021

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  • 2010

    Underdetermined Blind Source Separation Using Acoustic Arrays

    Makino, S., Araki, S., Winter, S. & Sawada, H., 2010 Apr 9, Handbook on Array Processing and Sensor Networks. John Wiley and Sons, p. 303-341 39 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    8 Citations (Scopus)
  • 2004

    Estimating the number of sources for frequency-domain blind source separation

    Sawada, H., Winter, S., Mukai, R., Araki, S. & Makino, S., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 610-617 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    9 Citations (Scopus)
  • Frequency domain blind source separation for many speech signals

    Mukai, R., Sawada, H., Araki, S. & Makino, S., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 461-469 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    15 Citations (Scopus)
  • On coefficient delay in natural gradient blind deconvolution and source separation algorithms

    Douglas, S. C., Sawada, H. & Makino, S., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 634-642 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)
  • Overcomplete BSS for convolutive mixtures based on hierarchical clustering

    Winter, S., Sawada, H., Araki, S. & Makino, S., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 652-660 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    21 Citations (Scopus)
  • Underdetermined blind separation of convolutive mixtures of speech with directivity pattern based mask and ICA

    Araki, S., Makino, S., Sawada, H. & Mukai, R., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 898-905 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    15 Citations (Scopus)