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TNN
2010
139views Management» more  TNN 2010»
15 years 1 months ago
Identification of finite state automata with a class of recurrent neural networks
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
Sung Hwan Won, Iickho Song, Sun-Young Lee, Cheol H...
ICASSP
2011
IEEE
14 years 10 months ago
Structural similarity indices for high dynamic range imaging
In this paper, a structural similarity index is first proposed for two images with possibly different dynamic ranges and intensities as well as possibly small rotation and transl...
Zhengguo Li, Zijian Zhu, Susanto Rahardja
ICASSP
2011
IEEE
14 years 10 months ago
Dual domain method for single image dehazing and enhancing
In this paper, we propose a novel method for improving the visibility of an image (with fog or haze), as well as the image’s details. The proposed method adjusts the global cont...
Dongin Shin, Kristofor B. Gibson, Wonha Kim, Truon...
ICASSP
2011
IEEE
14 years 10 months ago
Blind beamformer for constant modulus signals based on relevance vector machine
The blind beamforming method for constant modulus (CM) signals based on relevance vector machine (RVM) is proposed. The proposed beamforming method is obtained by incorporating th...
Kyuho Hwang, Sooyong Choi
ICASSP
2011
IEEE
14 years 10 months ago
Direction-of-arrival estimation using acoustic vector sensors in the presence of noise
A vector-sensor consisting of a monopole sensor collocated with orthogonally oriented dipole sensors can be used for direction-ofarrival (DOA) estimation. A method is proposed to ...
Dovid Levin, Sharon Gannot, Emanuel A. P. Habets
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