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Codifica Turbo con Decodifica Iterativa×Teorema della Capacità di Canale di Shannon×
CampoTelecomunicazioniTelecomunicazioni
FamigliaProcess / pipelineProcess / pipeline
Anno di origine19931948
IdeatoreClaude Berrou, Alain Glavieux, and Punya ThitimajshimaClaude Shannon
Tipoiterative error-correcting codefundamental theoretical bound
Fonte seminaleBerrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near Shannon limit error-correcting coding and decoding: Turbo-codes. In Proceedings of the IEEE International Conference on Communications (ICC), 1064-1070. DOI ↗Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423. DOI ↗
Aliasiterative decoding, concatenated codeschannel capacity, information theory bound
Correlati55
SintesiTurbo codes, introduced by Berrou, Glavieux, and Thitimajshima in 1993, are a landmark in channel coding history. They achieve performance within 0.5 dB of the Shannon limit—the theoretical boundary for reliable communication—a feat previously thought impossible with practical complexity. Turbo codes use concatenated convolutional codes with an interleaver and iterative decoding via belief propagation. They were adopted in 3G (UMTS) and remain important in 4G/5G systems alongside LDPC codes.Shannon's channel capacity theorem, published in 1948, establishes the maximum rate at which information can be reliably transmitted over a noisy channel. Expressed as C = B log2(1 + S/N) for additive white Gaussian noise (AWGN), it is a fundamental bound in information theory and communications engineering. Shannon proved that reliable communication is possible at any rate below capacity, and impossible above it. This theorem underpins the design of all modern communication systems and motivates coding theory, modulation, and signal processing techniques.
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ScholarGateConfronta i metodi: Turbo Code · Shannon Capacity. Consultato il 2026-06-17 da https://scholargate.app/it/compare