ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation

[Lecture Notes in Computer Science] Inde

[Lecture Notes in Computer Science] Independent Component Analysis and Blind Signal Separation Volume 3195 || Application of Gaussian Mixture Models for Blind Separation of Independent Sources

✍ Puntonet, Carlos G.; Prieto, Alberto 📂 Article 📅 2004 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 458 KB

This Book Constitutes The Refereed Proceedings Of The 5th International Conference On Independent Component Analysis And Blind Source Separation, Ica 2004, Held In Granada, Spain, In September 2004. The 156 Revised Papers Presented Were Carefully Reviewed And Selected From 203 Submissions. The Paper