文件名称:ccabss
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-08-04
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- 1kb
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- haris*****
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CCABSS - Blind Source Separation by Canonical Correlation Analysis
Y = CCABSS(X) is the BSS of X=A*S where S is a set of unknown source signals
and A is an unknown mixing matrix. The components in S are supposed to
be independent. Y is an estimate of S appart from permutation and scaling.
For mixed 1-D signals, X is 2-D. The first index refer to the different
components and the second index refers to the signal parameter (e.g. time)
For mixed images, X is 3-D where the first index refers to the different
mixed images and the second and third indeces are the spatial coordinates.
[Y W] = CCABSS(X) also gives the de-mixing matrix W, such that Y = W *X.-CCABSS - Blind Source Separation by Canonical Correlation Analysis
Y = CCABSS(X) is the BSS of X=A*S where S is a set of unknown source signals
and A is an unknown mixing matrix. The components in S are supposed to
be independent. Y is an estimate of S appart from permutation and scaling.
For mixed 1-D signals, X is 2-D. The first index refer to the different
components and the second index refers to the signal parameter (e.g. time)
For mixed images, X is 3-D where the first index refers to the different
mixed images and the second and third indeces are the spatial coordinates.
[Y W] = CCABSS(X) also gives the de-mixing matrix W, such that Y = W *X.
Y = CCABSS(X) is the BSS of X=A*S where S is a set of unknown source signals
and A is an unknown mixing matrix. The components in S are supposed to
be independent. Y is an estimate of S appart from permutation and scaling.
For mixed 1-D signals, X is 2-D. The first index refer to the different
components and the second index refers to the signal parameter (e.g. time)
For mixed images, X is 3-D where the first index refers to the different
mixed images and the second and third indeces are the spatial coordinates.
[Y W] = CCABSS(X) also gives the de-mixing matrix W, such that Y = W *X.-CCABSS - Blind Source Separation by Canonical Correlation Analysis
Y = CCABSS(X) is the BSS of X=A*S where S is a set of unknown source signals
and A is an unknown mixing matrix. The components in S are supposed to
be independent. Y is an estimate of S appart from permutation and scaling.
For mixed 1-D signals, X is 2-D. The first index refer to the different
components and the second index refers to the signal parameter (e.g. time)
For mixed images, X is 3-D where the first index refers to the different
mixed images and the second and third indeces are the spatial coordinates.
[Y W] = CCABSS(X) also gives the de-mixing matrix W, such that Y = W *X.
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ccabss.m