Andere Kunden interessierten sich auch für
![Spallation Neutron Source]( "Spallation Neutron Source")
Spallation Neutron Source22,99 €![Synchrotron Light Source]( "Synchrotron Light Source")
Synchrotron Light Source25,99 €![X-1 X-Ray Source]( "X-1 X-Ray Source")
X-1 X-Ray Source41,99 €![Source Function]( "Source Function")
Source Function29,99 €![Vega as an X- Ray Source]( "Vega as an X- Ray Source")
Vega as an X- Ray Source25,99 €![Super Soft X-ray Source]( "Super Soft X-ray Source")
Super Soft X-ray Source29,99 €![Intermittent Energy Source]( "Intermittent Energy Source")
Intermittent Energy Source35,99 €
High Quality Content by WIKIPEDIA articles! Source separation problems in digital signal processing are those in which several signals have been mixed together and the objective is to find out what the original signals were. The classical example is the "cocktail party problem", where a number of people are talking simultaneously in a room (like at a cocktail party), and one is trying to follow one of the discussions. The human brain can handle this sort of auditory source separation problem, but it is a very tricky problem in digital signal processing. This was first analyzed by Colin Cherry. Several approaches have been proposed for the solution of this problem but development is currently still very much in progress. Some of the more successful approaches are principal components analysis and independent components analysis, which work well when there are no delays or echoes present; that is, the problem is simplified a great deal. The field of computational auditory scene analysis attempts to achieve auditory source separation using an approach that is based on human hearing.