# template for Lab #2, Task #6
import numpy,random
import matplotlib.pyplot as p
import lab2

def deconvolver(y,h):
    """
    Take the samples that are the output from a channel (y), and the
    channel's unit-sample response (h), deconvolve the samples, and
    return the reconstructed input.
    """
    pass  # your code here...

if __name__ == '__main__':
    """
    Develop test patterns and try using deconvolution to reconstruct
    the input from the output samples for each of the two channels.
    Use 8 samples per bit.  Generate plots comparing your
    reconstruction to the original input and output of the channel.
    Finally, try performing reconstruction with nonzero noise.
    """
    pass  # your code here...