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» Blind Deconvolution Using the Relative Newton Method
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IJON
2008
158views more  IJON 2008»
13 years 7 months ago
An adaptive stereo basis method for convolutive blind audio source separation
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...
Maria G. Jafari, Emmanuel Vincent, Samer A. Abdall...
JCM
2007
191views more  JCM 2007»
13 years 7 months ago
Using Antenna Array Redundancy and Channel Diversity for Secure Wireless Transmissions
— The use of signal processing techniques to protect wireless transmissions is proposed as a way to secure wireless networks at the physical layer. This approach addresses a uniq...
Xiaohua Li, Juite Hwu, E. Paul Ratazzi
NIPS
2008
13 years 9 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
ISCAS
2007
IEEE
108views Hardware» more  ISCAS 2007»
14 years 1 months ago
Linear Prediction Based Semi-Blind Channel Estimation for MIMO-OFDM System
— In this paper, a semi-blind channel estimation method is presented for MIMO-OFDM systems. The new method uses the linear prediction for obtaining a blind constraint on the MIMO...
Feng Wan, Wei-Ping Zhu, M. N. S. Swamy
BMCBI
2007
207views more  BMCBI 2007»
13 years 7 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...