Author:
Movahedi Naini Farid,Hosein Mohimani G.,Babaie-Zadeh Massoud,Jutten Christian
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference24 articles.
1. The K-SVD: an algorithm for designing of overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006
2. A.A. Amini, M. Babaie-Zadeh, C. Jutten, A fast method for sparse component analysis based on iterative detection-projection, in: Proceedings of 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt), 2006.
3. M. Babaie-Zadeh, C. Jutten, Semi-blind approaches for source separation and independent component analysis, in: Proceedings of ESANN’06, 2006, pp. 301–312.
4. A. Belouchrani, J.-F. Cardoso, Maximum likelihood source separation by the expectation-maximization technique, in: NOLTA 95, Las Vegas, USA, 1995, pp. 49–53.
5. P. Bofill, M. Zibulevsky, Underdetermined blind source separation using sparse representations, Signal Processing 81 (2001) 2353–2362 〈citeseer.ist.psu.edu/bofill01underdetermined.html〉.
Cited by
42 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