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Mapping interleaving laws to parallel turbo decoder architectures

Academic Article
Publication Date:
2004
abstract:
For high data rate applications, the implementation of iterative turbo-like decoders requires the use of parallel architectures posing some collision-free constraints to the reading/writing process in the soft-input soft-output (SISO) decoders. Contrary to the literature belief, we prove in this paper that the parallelism constraints can be met by any permutation law employed by the turbo-interleaver, and we give a constructive method to satisfy those constraints.
Iris type:
01.01 Articolo in rivista
Keywords:
interleaver; memory mapping; parallel implementation; turbo codes
List of contributors:
Tarable, Alberto
Authors of the University:
TARABLE ALBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/319603
Published in:
IEEE COMMUNICATIONS LETTERS
Journal
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