Multi-Dimensional Classification Algorithm for Automatic Modulation Recognition
Ouail Albairat
Broschiertes Buch

Multi-Dimensional Classification Algorithm for Automatic Modulation Recognition

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This thesis proposes an approach for modulation classification using existing features in a more efficient way. The Multi-Dimensional Classification Algorithm (MDCA) treats features extracted from signals of interest as elements with irrelevant identities, hence eliminating any dependence of the classifier on any particular feature. This design enables the use of any number of features, and the MDCA algorithm provides the capability to classify modulations in higher dimensions. The use of multiple features requires an equal number of data dimensions, and thus classification in as high a dimens...