Independent Component Analysis

školitel: Dr. Georges Darbellay
e-mail: zobrazit e-mail
typ práce: bakalářská práce, diplomová práce
zaměření: MI_MM, II_SIMI
klíčová slova: Signal processing, Mixtures, Separation, Medical Data
popis: In signal processing one often encounters the situation where several independent source signals are mixed. Only the mixtures are can be measured. Signal separation aims at recovering the original signals from the mixed signals. In statistical terms this is referred to as independent component analysis, since the demixing is achieved by making the signals independent again. Our goal will be to develop a statistical method, to test it on some well-defined examples, and to apply it to medical data. This work includes some programming since we are dealing with data.
naposledy změněno: 16.09.2011 08:33:50

za obsah této stránky zodpovídá: Radek Fučík | naposledy změněno: 12.9.2011
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