Efficient Decoding of Partial Unit Memory Codes of Arbitrary Rate
Antonia Wachter-Zeh, Markus Stinner, Martin Bossert

TL;DR
This paper introduces a new arbitrary-rate construction for Partial Unit Memory codes, along with a generalized decoding algorithm that is proven correct and has cubic complexity, expanding decoding capabilities beyond low-rate limitations.
Contribution
It presents a novel arbitrary-rate PUM code construction, analyzes its distance parameters, and develops a generalized decoding algorithm with proven correctness and cubic complexity.
Findings
The new construction supports arbitrary code rates.
The decoding algorithm is proven correct.
Decoding complexity is cubic in code length.
Abstract
Partial Unit Memory (PUM) codes are a special class of convolutional codes, which are often constructed by means of block codes. Decoding of PUM codes may take advantage of existing decoders for the block code. The Dettmar--Sorger algorithm is an efficient decoding algorithm for PUM codes, but allows only low code rates. The same restriction holds for several known PUM code constructions. In this paper, an arbitrary-rate construction, the analysis of its distance parameters and a generalized decoding algorithm for PUM codes of arbitrary rate are provided. The correctness of the algorithm is proven and it is shown that its complexity is cubic in the length.
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Taxonomy
TopicsCoding theory and cryptography · DNA and Biological Computing · Error Correcting Code Techniques
