?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=MISEP+-+Linear+and+Nonlinear+ICA+Based+on+Mutual+Information&rft.creator=Almeida%2C+Luis+B.&rft.subject=Statistical+Models&rft.subject=Neural+Nets&rft.description=Linear+Independent+Components+Analysis+(ICA)+has+become+an+important+signal+processing+and+data+analysis+technique%2C+the+typical+application+being+blind+source+separation+in+a+wide+range+of+signals%2C+such+as+biomedical%2C+acoustical+and++astrophysical+ones.+Nonlinear+ICA+is+less+developed%2C+but+has+the+potential+to+become+at+least+as+powerful.%0A%0AThis+paper+presents+MISEP%2C+an+ICA+technique+for+linear+and+nonlinear+mixtures%2C+which+is+based+on+the+minimization+of+the+mutual+information+of+the+estimated+components.+MISEP+is+a+generalization+of+the+popular+INFOMAX+technique%2C+which+is+extended+in+two+ways%3A+(1)+to+deal+with+nonlinear+mixtures%2C+and+(2)+to+be+able+to+adapt+to+the+actual+statistical+distributions+of+the+sources%2C+by+dynamically+estimating+the+nonlinearities+to+be+used+at+the+outputs.+The+resulting+MISEP+method+optimizes+a+network+with+a+specialized+architecture%2C+with+a+single+objective+function%3A+the+output+entropy.+Examples+of+both+linear+and+nonlinear+ICA+performed+by+MISEP+are+presented+in+the+paper.%0A&rft.date=2002-12&rft.type=Journal+(Paginated)&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F2687%2F1%2FPAPER.pdf&rft.identifier=++Almeida%2C+Luis+B.++(2002)+MISEP+-+Linear+and+Nonlinear+ICA+Based+on+Mutual+Information.++%5BJournal+(Paginated)%5D++++(Unpublished)++&rft.relation=http%3A%2F%2Fcogprints.org%2F2687%2F