Marginal Hilbert Spectrum
The inputs are the imf's amplitud and the imfs instantaneous frequency. The outputs are the Marginal Hilbert Spectrum (mhs) amplitude vector and a frequency vector corresponding to the amplitude vector. In order to obtain a more interpretable graph the instantaneous frequency vector can be quantized grouping values of frequency Which are very close. for this, a frequency resolution and the sample rate are required for the frequency.
Cite As
Jaime Delgado Saa (2024). Marginal Hilbert Spectrum (https://www.mathworks.com/matlabcentral/fileexchange/27531-marginal-hilbert-spectrum), MATLAB Central File Exchange. Retrieved .
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- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Hilbert and Walsh-Hadamard Transforms >
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1.0.0.0 |