Study of a Plasma Pulse by use of the Hilbert-Huang Transform
The Hilbert-Huang Transform uses the method of empirical mode decomposition in which a signal is decomposed into multiple signals called intrinsic mode functions. A Hilbert Transform is then applied to these functions in order to obtain instantaneous frequency data. This results in a time dependent distribution of signal amplitudes, known as the Hilbert Spectrum. By applying this transform to a complex or noisy signal, the noise can be isolated and removed from the signal source. This allows for a much cleaner, easier to study signal. In this presentation, we will describe the theory behind this technique and demonstrate how it can be used to study the plasma pulse from a commercial plasma cleaning system.
Drake, Dereth J. and Henderson, James E.
"Study of a Plasma Pulse by use of the Hilbert-Huang Transform,"
Georgia Journal of Science, Vol. 78, No. 1, Article 84.
Available at: https://digitalcommons.gaacademy.org/gjs/vol78/iss1/84