独立分量分析.

11IndependentComponentAnalysis(ICA)YeJimin2345678ICAconsistsofrecoveringthelatentvariablesonlyusingthemixturevariables91011121314151617181920Using(20)asobjectivefunction,usingthefixedpointalgorithmtosolvethisobjectivefunction,wecangetthefollowingalgorithm.21222324iIlustration252627282930--Separationmethod31ThelatestNPCAalgorithmsNewobjectivefunctionofNPCA()TJBBB0B,1{(())(()}{(())(())}ToptttEgtgtEgttBBxBxBxBxB3233340200400600800100012001400160018002000-202468101214thesourceesignalsinonerun350200400600800100012001400160018002000-505101520test36还有基于最大似然、最小互信息、最大熵、由于时间关系，请大家自己看书：A.HyvÄarinen,J.Karhunen,E.oja，”IndependentComponentAnalysis”，JOHNWILEY.37Theend！