Finite fields
Fundamentals of Convolutional Coding
Fundamentals of Convolutional Coding
On Periodic (Partial) Unit Memory Codes with Maximum Free Distance
Selected papers from the Workshop on Information Protection, Error Control, Cryptology, and Speech Compression
Coding for Errors and Erasures in Random Network Coding
IEEE Transactions on Information Theory
A Rank-Metric Approach to Error Control in Random Network Coding
IEEE Transactions on Information Theory
Bounded minimum distance decoding of unit memory codes
IEEE Transactions on Information Theory
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(Partial) unit memory ((P)UM) codes provide a powerful possibility to construct convolutional codes based on block codes in order to achieve a high decoding performance. In this contribution, a construction based on Gabidulin codes is considered. This construction requires a modified rank metric, the so-called sum rank metric. For the sum rank metric, the free rank distance, extended row rank distance, and its slope are defined analogous to the extended row distance in the Hamming metric. Upper bounds for the free rank distance and slope of (P)UM codes in the sum rank metric are derived, and an explicit construction of (P)UM codes based on Gabidulin codes is given.