Mfdfa

Corrected spectral graphs. Added examples from the paper to the repository.

Already on PyPI, so `pip install MFDFA` should do the job (or `pip install MFDFA --upgrade`)

Adding a new file `singspect.py ` wherein all the usual scaling functions, e.g. generalised Hurst coefficients _h(q)_, scaling exponents _τ(q)_, and singularity spectrum _f(α)_ and singularity strength _α_ are included, as well as plotting functions.

Already on PyPI, so `pip install MFDFA` should do the job.

Main updates are:
- `EMD` is now an extra feature, thus by standard only `numpy` is needed for `MFDFA` to work.
- A moving window feature is added.

This is the second release. We are now also live on PyPI. An Empirical Mode Decomposition method for detrending data is added, as well as a few minor extensions.

This is the first release of the MFDFA: Multifractal Detrended Fluctuation Analysis in Python. It is operational, flexible, accepts masked arrays (especially helpful with "bad" data), uses multi-threading, and performs fast.