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- W2042649448 abstract "A novel implicitly-exhaustive search algorithm for finding, in systematic form, rate R=frac{1}{2} optimal-span Convolutional Self-Doubly Orthogonal (CDO) codes and Simplified Convolutional Self-Doubly Orthogonal (S-CDO) codes is presented. In order to build high-performance low-latency codecs with these codes, it is important to minimize their constraint length (or span) for a given J number of generator connections. The proposed algorithm is exhaustive in nature and its improvements over the best previously published searching techniques allowed it to yield new optimal-span CDO/S-CDO codes (having order J ∈ {6,7,8} and J ∈ {9} respectively), as well as a span reduction for codes with a higher J value (J ∈ {10,11} and J ∈ {14,15} for CDO and S-CDO respectively)." @default.
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- W2042649448 date "2012-01-01" @default.
- W2042649448 modified "2023-09-23" @default.
- W2042649448 title "Efficient Search Algorithm for Determining Optimal R=1/2 Systematic Convolutional Self-Doubly Orthogonal Codes" @default.
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- W2042649448 doi "https://doi.org/10.1109/tcomm.2011.100611.100171" @default.
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