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For computational and conceptual simplicity this problem is often represented as a linear transformation of the original audio signals. In other words, each component (multivariate signal) of the representation is a linear combination of the original variables (original subcomponents).
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. Such a representation seems to capture the essential structure of the data in many applications.
Here we separate audio using different criteria suggested for ICA, being PCA (Principal Component Analysis), Non-gaussianity maximization using kurtosis and neg-entropy methods, frequency domain approach using non-gaussianity maximization and beamforming.
For computational and conceptual simplicity this problem is often represented as a linear transformation of the original audio signals. In other words, each component (multivariate signal) of the representation is a linear combination of the original variables (original subcomponents).
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. Such a representation seems to capture the essential structure of the data in many applications.
Here we separate audio using different criteria suggested for ICA, being PCA (Principal Component Analysis), Non-gaussianity maximization using kurtosis and neg-entropy methods, frequency domain approach using non-gaussianity maximization and beamforming.
| Erscheinungsjahr: | 2014 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 32 |
| Inhalt: | 32 S. |
| ISBN-13: | 9783656588863 |
| ISBN-10: | 3656588864 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Panaganti, Kishan |
| Auflage: | 1. Auflage |
| Hersteller: | GRIN Verlag |
| Maße: | 210 x 148 x 3 mm |
| Von/Mit: | Kishan Panaganti |
| Erscheinungsdatum: | 18.02.2014 |
| Gewicht: | 0,062 kg |
| Erscheinungsjahr: | 2014 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 32 |
| Inhalt: | 32 S. |
| ISBN-13: | 9783656588863 |
| ISBN-10: | 3656588864 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Panaganti, Kishan |
| Auflage: | 1. Auflage |
| Hersteller: | GRIN Verlag |
| Maße: | 210 x 148 x 3 mm |
| Von/Mit: | Kishan Panaganti |
| Erscheinungsdatum: | 18.02.2014 |
| Gewicht: | 0,062 kg |
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