Results 231 to 240 of about 587,175 (265)

Superefficiency in blind source separation

IEEE Transactions on Signal Processing, 1999
Summary: Blind source separation is the problem of extracting independent signals from their mixtures without knowing the mixing coefficients nor the probability distributions of source signals and may be applied to EEG and MEG imaging of the brain. It is already known that certain algorithms work well for the extraction of independent components.
openaire   +1 more source

Investigation of factors influencing source separation intention towards municipal solid waste among urban residents of India.

Resources, Conservation and Recycling, 2021
Pradeep Rathore, S P Sarmah
exaly  

A survey of artificial intelligence approaches in blind source separation

Neurocomputing, 2023
Abir Hussain, Khawla Alnajjar, D Al-Jumeily   +2 more
exaly  

Infomax and maximum likelihood for blind source separation

IEEE Signal Processing Letters, 1997
J -F Cardoso
exaly  

Blind source separation based vibration mode identification

Mechanical Systems and Signal Processing, 2007
David Chelidze
exaly  

LIGHT SOURCE SEPARATION METHOD, LIGHT SOURCE SEPARATION DEVICE AND LIGHT SOURCE SEPARATION PROGRAM

2021
NAKAMURA MITSUKI, YAMADA WATARU, TAKATORI YASUSHI   +2 more
openaire   +1 more source

Output-only modal analysis using blind source separation techniques

Mechanical Systems and Signal Processing, 2007
Gaëtan Kerschen, J -C Golinval
exaly  

Performance measurement in blind audio source separation

IEEE Transactions on Audio Speech and Language Processing, 2006
Rémi Gribonval, C Fevotte
exaly  

Factors influencing source separation intention and willingness to pay for improving waste management in Bangkok, Thailand

Sustainable Environment Research, 2018
Suthirat Kittipongvises, Sujitra Vassanadumrongdee   +1 more
exaly  

Do economic incentives affect attitudes to solid waste source separation? Evidence from Ghana

Resources, Conservation and Recycling, 2013
Cecilia Sundberg, VÍCTOR Owusu
exaly