This is a simple python library for getting power spectra right. It is based on the report "Spectrum and spectral density estimation by the Discrete Fourier transform (DFT), including a comprehensive list of window functions and some new at-top windows" by Gerhard Heinzel, Albrecht Rüdiger and Roland Schilling. The report can be obtained at http://edoc.mpg.de/395068.
It supports the built-in numpy FFT functions as well as pyFFTW. Take a look at the paper mentioned above for the right window function. The library is tested with Python 2.7 and Python 3.3.
The library can be installed directly from the git repository using pip:
pip install git+https://github.com/rthiele/periodogram.git
Use the --user argument of pip install to install to the current users home
directory instead of a system wide install.
The library can also be installed from a local copy using:
python setup.py install
Copyright (c) 2014 Roman Thiele <[email protected]> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.