Empirical Mode Decomposition
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Empirical Mode Decomposition
Empirical Mode Decomposition is a data-driven signal processing technique to decompose signals into intrinsic mode functions. The course provides a theoretical introduction and applications.
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- 0 Students Enrolled
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Empirical Mode Decomposition is a data-driven signal processing technique to decompose signals into intrinsic mode functions. The course provides a theoretical introduction and applications. The applications concern portfolio management, and object detection and classification using radar.
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Statistics master's student Humboldt-Universität zu Berlin