In this talk we characterize two models of concatenated convolutional codes from the perspective of linear systems theory.
We present an input-state-output representation of these models and study the conditions for obtaining a minimal input-state-output representation and non-catastrophic concatenated convolutional code.
We also establish conditions so that the concatenated codes are observable and give a lower bound for their free distances.