Metadata-Version: 1.0
Name: yodel
Version: 0.3.0
Summary: The Swiss Army knife for your sound
Home-page: https://github.com/rclement/yodel
Author: Romain Clement
Author-email: contact@romainclement.com
License: MIT
Description: Description
        ===========
        
        |Build Status| |Coverage Status| |ReadTheDocs Status| |PyPI|
        
        `Yodel <http://www.romainclement.com/yodel>`__ (*the Swiss Army knife
        for your sound*) is an easy-to-use Python package for digital audio
        signal processing, analysis and synthesis. It is meant to provide a
        comprehensive set of tools to manipulate audio signals. It can be used
        for prototyping as well as developing audio applications in Python.
        
        Features
        ========
        
        -  Analysis:
        
           -  Discrete Fourier Transform
           -  Fast Fourier Transform
           -  Windowing: Hamming, Hanning, Blackman
        
        -  Filtering:
        
           -  Single Pole: low-pass, high-pass
           -  Biquad: low-pass, high-pass, band-pass, all-pass, notch, peak,
              low-shelf, high-shelf
           -  State Variable: low-pass, high-pass, band-pass, band-reject
           -  Parametric Equalizer
           -  Comb: feedforward, feedback, all-pass
           -  Convolution: standard, fast
           -  Windowed Sinc: low-pass, high-pass, band-pass, band-reject
           -  Custom
        
        -  Delay:
        
           -  Time-varying delayline
        
        Installation
        ============
        
        Simply run: ``pip install yodel``
        
        Documentation
        =============
        
        The complete API documentation can be found at
        `ReadTheDocs <http://yodel.readthedocs.org/en/latest/>`__. For code
        examples, check out the ``demo`` folder inside the project repository.
        
        Contact
        =======
        
        Any questions or comments about Yodel? Let me know at
        contact@romainclement.com.
        
        Changelog
        =========
        
        Version 0.3.0
        -------------
        
        -  New delay module with time-varying delayline
        -  New filters: Comb, Convolution, FastConvolution, Custom, Windowed
           Sinc
        
        Version 0.2.0
        -------------
        
        -  Fix flat frequency response for biquad filter
        -  Renaming 'AnalysisWindow' class to 'Window' in analysis module
        -  Better documentation (include classes constructors)
        -  New filters: single pole, state variable, parametric equalizer
        
        Version 0.1.2
        -------------
        
        -  More complete README
        -  Fix Python package long description (use README.rst)
        -  ReadTheDocs integration
        -  Integrate extra folders in distribution (test, demo, docs)
        
        Version 0.1.1
        -------------
        
        -  Renaming the project to Yodel
        -  Better packaging for PyPI
        
        Version 0.1.0
        -------------
        
        -  First release of Damn!
        -  Signal analysis module:
        
           -  Discrete Fourier Transform
           -  Fast Fourier Transform
           -  Analysis windows (Hanning, Hamming, Blackman)
        
        -  Filtering module:
        
           -  Biquad filter
        
        -  Utility modules for complex numbers and conversions
        
        License
        =======
        
        The MIT License (MIT)
        
        Copyright (c) 2014 Romain Clement
        
        .. |Build Status| image:: https://travis-ci.org/rclement/yodel.svg?branch=develop
           :target: https://travis-ci.org/rclement/yodel
        .. |Coverage Status| image:: https://coveralls.io/repos/rclement/yodel/badge.png?branch=develop
           :target: https://coveralls.io/r/rclement/yodel?branch=develop
        .. |ReadTheDocs Status| image:: https://readthedocs.org/projects/yodel/badge/?version=latest
           :target: https://readthedocs.org/projects/yodel
        .. |PyPI| image:: http://img.shields.io/pypi/dm/yodel.svg
           :target: https://pypi.python.org/pypi/yodel
        
Platform: any
