Neural Nets WIRN09 - Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28-30 2009
نویسندگان
چکیده
In this paper a blind source separation algorithm in reverberant environment is presented. The algorithms working in such adverse environments are usually characterized by a huge computational cost. In order to reduce the computational complexity of this kind of algorithms a partitioned frequency domain approach is proposed. Several experimental results are shown to demonstrate the effectiveness of the proposed method.
منابع مشابه
Recent Advances of Neural Network Models and Applications - Proceedings of the 23rd Workshop of the Italian Neural Networks Society, WIRN 2013, Vietri sul Mare, Salerno, Italy, May 23-25, 2013
The identification of emergent structures in dynamical systems is a major challenge in complex systems science. In particular, the formation of intermediate-level dynamical structures is of particular interest for what concerns biological as well as artificial network models. In this work, we present a new technique aimed at identifying clusters of nodes in a network that behave in a coherent a...
متن کاملImage Analysis and Processing - ICIAP 2009, 15th International Conference Vietri sul Mare, Italy, September 8-11, 2009, Proceedings
Only for you today! Discover your favourite image analysis and processing iciap 2009 15th international conference vietri sul mare italy september 8 11 2009 proceedings lecture notes in computer science book right here by downloading and getting the soft file of the book. This is not your time to traditionally go to the book stores to buy a book. Here, varieties of book collections are availabl...
متن کاملar X iv : 0 71 1 . 29 60 v 1 [ gr - q c ] 1 9 N ov 2 00 7 Optics of spin - 1 particles from gravity - induced phases
G. Papini, G. Scarpetta, A. Feoli , G. Lambiase Department of Physics, University of Regina, Regina, Sask, S4S 0A2, Canada Prairie Particle Physics Institute, Regina, Sask, S4S 0A2, Canada International Institute for Advanced Scientific Studies, 89019 Vietri sul Mare (SA), Italy Dipartimento di Fisica ”E.R. Caianiello” Universitá di Salerno, 84081 Baronissi (SA), Italy INFN Gruppo Collegato di ...
متن کاملSolving Fuzzy Equations Using Neural Nets with a New Learning Algorithm
Artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. This paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. For this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. The ...
متن کاملSolving Fuzzy Equations Using Neural Nets with a New Learning Algorithm
Artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. This paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. For this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. The ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 204 شماره
صفحات -
تاریخ انتشار 2009