Сравнение методов

	Теорема Шеннона о пропускной способности канала	Турбокодирование с итеративным декодированием
Область	Телекоммуникации	Телекоммуникации
Семейство	Process / pipeline	Process / pipeline
Год появления	1948	1993
Автор метода	Claude Shannon	Claude Berrou, Alain Glavieux, and Punya Thitimajshima
Тип	fundamental theoretical bound	iterative error-correcting code
Основополагающий источник	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423.	Berrou, 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.
Другие названия	channel capacity, information theory bound	iterative decoding, concatenated codes
Связанные	5	5
Сводка	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.	Turbo 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.