?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Accurate%2C+fast+and+stable+denoising+source+separation+algorithms&rft.creator=Valpola%2C+Dr+Harri&rft.creator=S%C3%A4rel%C3%A4%2C+Mr+Jaakko&rft.subject=Statistical+Models&rft.subject=Machine+Learning&rft.subject=Neural+Nets&rft.subject=Artificial+Intelligence&rft.description=++Denoising+source+separation+is+a+recently+introduced+framework+for%0A++building+source+separation+algorithms+around+denoising+procedures.%0A++Two+developments+are+reported+here.++First%2C+a+new+scheme+for%0A++accelerating+and+stabilising+convergence+by+controlling+step+sizes%0A++is+introduced.++Second%2C+a+novel+signal-variance+based+denoising+function%0A++is+proposed.++Estimates+of+variances+of+different+source+are%0A++whitened+which+actively+promotes+separation+of+sources.++Experiments%0A++with+artificial+data+and+real+magnetoencephalograms+demonstrate+that%0A++the+developed+algorithms+are+accurate%2C+fast+and+stable.%0A&rft.date=2004&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3637%2F1%2FICA04_rev.pdf&rft.identifier=++Valpola%2C+Dr+Harri+and+S%C3%A4rel%C3%A4%2C+Mr+Jaakko++(2004)+Accurate%2C+fast+and+stable+denoising+source+separation+algorithms.++%5BConference+Paper%5D++++(In+Press)++&rft.relation=http%3A%2F%2Fcogprints.org%2F3637%2F