The predictable degree property and minimality in multidimensional convolutional coding

Abstract Convolutional codes inherit from polynomials a natural structure of a filtered module, which is a fundamental structure and therefore should be taken into account. Pursuing this idea, we define higher-dimensional analogs of the predictable degree property, Forney’s indices and overall constraint length; also, we address the important issue of minimality.