The Viterbi Algorithm - Illustrated!

This software enables the generation of illustrations for the Viterbi Algorithm decoding of convolutional codes using Python.

A demo of the illustration created using this software can be found here.

Requirements

• Python 2.7 or above
• NumPy 1.6 or above
• SciPy 0.10 or above
• Matplotlib 1.1 or above
• Cython 0.15 or above
• CommPy 0.1

Note: There are some modifications that need to be done in Matplotlib's animation.py file. In subclass:

class ArtistAnimation(TimedAnimation)

comment the function:

def _pre_draw(self, framedata, blit)

as follows:

def _pre_draw(self, framedata, blit):
    '''
    Clears artists from the last frame.
    '''
    """
    if blit:
        # Let blit handle clearing
        self._blit_clear(self._drawn_artists, self._blit_cache)
    else:
        # Otherwise, make all the artists from the previous frame invisible
        for artist in self._drawn_artists:
            artist.set_visible(False)
    """