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Blind Signal Separation

См. также в других словарях:

  • Blind signal separation — Blind signal separation, also known as blind source separation, is the separation of a set of signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing… …   Wikipedia

  • Methode de separation aveugle de source — Méthode de séparation aveugle de source La séparation aveugle de source (SAS) consiste à estimer un jeu de N sources inconnues à partir d un jeu de P observations. Ces observations sont des mélanges de ces sources et proviennent de capteurs… …   Wikipédia en Français

  • Méthode De Séparation Aveugle De Source — La séparation aveugle de source (SAS) consiste à estimer un jeu de N sources inconnues à partir d un jeu de P observations. Ces observations sont des mélanges de ces sources et proviennent de capteurs (antennes, microphones, caméras par exemple) …   Wikipédia en Français

  • Méthode de séparation aveugle de source — La séparation aveugle de source (SAS) consiste à estimer un jeu de N sources inconnues à partir d un jeu de P observations. Ces observations sont des mélanges de ces sources et proviennent de capteurs (antennes, microphones, caméras par exemple) …   Wikipédia en Français

  • 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… …   Wikipedia

  • Window blind — For other uses, see Blinds (disambiguation). For the desktop theming software, see WindowBlinds. Various window blinds A window blind is a type of window coverings. There are many different kinds of window blinds, using different systems and… …   Wikipedia

  • Independent component analysis — (ICA) is a computational method for separating a multivariate signal into additive subcomponents supposing the mutual statistical independence of the non Gaussian source signals. It is a special case of blind source separation. Definition When… …   Wikipedia

  • Computational auditory scene analysis — (CASA) is the study of auditory scene analysis by computational means [1]. In essence, CASA systems are machine listening systems that aim to separate mixtures of sound sources in the same way that human listeners do. CASA differs from the field… …   Wikipedia

  • Self-modeling mixture analysis — is a class of data analysis techniques that are also termed as Blind signal separation or Blind source separation which are used to separate pure data components from additive mixture data. Contents 1 Examples 2 Multivariate curve resolution 3… …   Wikipedia

  • Empirical orthogonal functions — In statistics and signal processing, the method of empirical orthogonal function (EOF) analysis is a decomposition of a signal or data set in terms of orthogonal basis functions which are determined from the data. It is the same as performing a… …   Wikipedia

  • Hilbert spectrum — The Hilbert spectrum (sometimes referred to as the Hilbert amplitude spectrum ) is a statistical tool that can help in distinguishing among a mixture of moving signals. The spectrum itself is decomposed into its component sources using… …   Wikipedia

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