  A novel method for performing error control coding in Symmetric
$\alpha-$Stable noise environments without any prior knowledge about the value
of $\alpha$ is introduced. We use an online learning framework which employs
multiple distributions to decode the received block and then combines these
results based on the past performance of each individual distributions. The
proposed method is also able to handle a mixture of Symmetric $\alpha-$Stable
distributed noises. Performance results in turbo coded system highlight the
utility of the work.
