Multidimensional convolutional codes in the behavioral approach
نویسندگان
چکیده
The main features of (finite) multidimensional convolutional codes are introduced as properties of the codewords supports, and connected with the polynomial matrices (encoders) adopted for their description. Observability and local detectability are shown to be equivalent to the kernel representation of a code via some parity check matrix H . The input/output representation of convolutional codes is finally discussed, and some connections between matrix primeness and the constraints every codeword imposes on the support of the corresponding information sequence are analysed.
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تاریخ انتشار 2010