Spectrum feature-based tested object electromagnetic emission amplitude spectrum data classification method

The invention discloses a spectrum feature-based tested object electromagnetic emission amplitude spectrum data classification method. The method includes the following steps that: seven kinds of spectrum features are provided according to the electromagnetic emission amplitude spectrum data of a te...

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Bibliographische Detailangaben
Hauptverfasser: SU DONGLIN, XU HUI, SHANG XIAOFAN, XIE SHUGUO
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The invention discloses a spectrum feature-based tested object electromagnetic emission amplitude spectrum data classification method. The method includes the following steps that: seven kinds of spectrum features are provided according to the electromagnetic emission amplitude spectrum data of a tested object; the seven kinds of spectrum features are extracted from the electromagnetic emission amplitude spectrum data so as to be subjected to quantification processing, so that the normalized spectrum feature results of the electromagnetic emission amplitude spectrum data are obtained; and the normalized spectrum feature results are classified based on a fuzzy C-means clustering method, so that a plurality of groups of classification results of the electromagnetic emission amplitude spectrum data can be obtained. The spectrum feature-based tested object electromagnetic emission amplitude spectrum data classification method of the invention can be applied to the understanding of the mechanism of the tested obje