Alexander Schmidt, Christoph Rugheimer, F. Particke, T. Mahr, Holger Appel, Hans-Georg Kolle
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Kurtosis based approach for detection of targets in noise
This report proposes a detection method based on using kurtosis and maximum amplitude information, both extracted from the spectral domain. At the end we face a classification problem which is solved by introducing a linear decision boundary. This new method is proved to result into overall good and stable detection results.
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