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- Blind_signal_separation abstract "Blind signal separation, also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.Since the chief difficulty of the problem is its underdetermination, methods for blind source separation generally seek to narrow the set of possible solutions in a way that is unlikely to exclude the desired solution. In one approach, exemplified by principal and independent component analysis, one seeks source signals that are minimally correlated or maximally independent in a probabilistic or information-theoretic sense. A second approach, exemplified by nonnegative matrix factorization, is to impose structural constraints on the source signals. These structural constraints may be derived from a generative model of the signal, but are more commonly heuristics justified by good empirical performance. A common theme in the second approach is to impose some kind of low-complexity constraint on the signal, such as sparsity in some basis for the signal space. This approach can be particularly effective if one requires not the whole signal, but merely its most salient features.There are different methods of blind signal separation: Principal components analysis Singular value decomposition Independent component analysis Dependent component analysis Non-negative matrix factorization Low-complexity coding and decoding Stationary subspace analysis Common spatial pattern".
- Blind_signal_separation wikiPageExternalLink bss.
- Blind_signal_separation wikiPageID "431893".
- Blind_signal_separation wikiPageRevisionID "594947984".
- Blind_signal_separation hasPhotoCollection Blind_signal_separation.
- Blind_signal_separation subject Category:Signal_processing.
- Blind_signal_separation subject Category:Singular_value_decomposition.
- Blind_signal_separation subject Category:Statistical_mechanics.
- Blind_signal_separation comment "Blind signal separation, also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio.".
- Blind_signal_separation label "Blind signal separation".
- Blind_signal_separation label "Méthode de séparation aveugle de source".
- Blind_signal_separation label "ブラインド信号源分離".
- Blind_signal_separation label "盲信号分离".
- Blind_signal_separation sameAs Méthode_de_séparation_aveugle_de_source.
- Blind_signal_separation sameAs ブラインド信号源分離.
- Blind_signal_separation sameAs m.027s75.
- Blind_signal_separation sameAs Q3106473.
- Blind_signal_separation sameAs Q3106473.
- Blind_signal_separation wasDerivedFrom Blind_signal_separation?oldid=594947984.
- Blind_signal_separation isPrimaryTopicOf Blind_signal_separation.