.. PyHHT documentation master file, created by
   sphinx-quickstart on Wed Dec  5 21:25:17 2018.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.

Welcome to PyHHT's documentation!
=================================

This is a small application for the Hilbert Huang Transform(HHT) Spectrum based on Python.

Actually, the MATLAB version is well written for HHT, but there is no Python version for the implement of HHT spectrum, which triggers me to write this. Hope this will help the people who need it.

Requirements:
-----------------------------------------------------------------
Required packages to run this program (tested on Debian Wheezy):


netCDF4

python-numpy

matplotlib

scipy

pyEMD

Details:
--------------------------------------------------------------------------------------------
.. toctree::
   :maxdepth: 2
   :caption: Contents:

   hht

The following contents contain one example of the hht spectrum.

.. sourcecode:: ipython

     from netCDF4 import Dataset
     from hht import hht
     import matplotlib.pyplot as plt
     import numpy as np

     f = Dataset('./source/obs.nc')

     fsh = f.variables['FSH']
     time = f.variables['time']

     one_site = np.ma.masked_invalid(fsh[0,:])
     time = time[~one_site.mask]

     data = one_site.compressed()
     hht(data, time)

.. image:: Figure_11.png

The EMD and Instance frequency can always be autogenerated.

.. image:: EMD.png

.. image:: InstanceF.png







Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`