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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Institute for Digital Assets (2025). Empirical Mode Decomposition. Q2 ecosystem. Available at https://quantinar.com/course/939/empirical-mode-decompositio or http://dx.doi.org/10.24818/IDA-CL/2025.93.

@misc{institutefordigitalassets2025, author = {Institute for Digital Assets}, title = {Empirical Mode Decomposition}, year = {2025}, howpublished = {Q2 ecosystem}, doi = {http://dx.doi.org/10.24818/IDA-CL/2025.93.}, url = {https://quantinar.com/course/939/empirical-mode-decompositio} }
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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.