Author:
Scarpiniti Michele,Scardapane Simone,Comminiello Danilo,Parisi Raffaele,Uncini Aurelio
Publisher
Springer International Publishing
Reference20 articles.
1. Amari, S.: Natural gradient works efficiently in learning. Neural Comput. 10(3), 251–276 (1998)
2. Araki, S., Mukai, R., Makino, S., Nishikawa, T., Saruwatari, H.: The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech. IEEE Trans. Speech Audio Process. 11(2), 109–116 (2003)
3. Bell, A.J., Sejnowski, T.J.: An information-maximisation approach to blind separation and blind deconvolution. Neural Comput. 7(6), 1129–1159 (1995)
4. Boulmezaoud, T.Z., El Rhabi, M., Fenniri, H., Moreau, E.: On convolutive blind source separation in a noisy context and a total variation regularization. In: Proceedings of IEEE Eleventh International Workshop on Signal Processing Advances in Wireless Communications (SPAWC2010), pp. 1–5. Marrakech (20–23 June 2010)
5. Choi, S., Cichocki, A., Park, H.M., Lee, S.Y.: Blind source separation and independent component analysis: a review. Neural Inf. Process. Lett. Rev. 6(1), 1–57 (2005)
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献