The ten-year-old turbo codes are entering into service

In the matter of channel coding and spectral efficiency, up to the invention of turbo codes, 3 dB or more stood between what the theory promised and what real systems were able to offer. This gap has now been removed, allowing communication systems to be designed with quasi-optimum performance. Ten years after the first publication on this new technique, turbo codes have commenced their practical service.

[1]  Sae-Young Chung,et al.  On the design of low-density parity-check codes within 0.0045 dB of the Shannon limit , 2001, IEEE Communications Letters.

[2]  Johannes B. Huber,et al.  Upper bound on the minimum distance of turbo codes , 2001, IEEE Trans. Commun..

[3]  Alain Glavieux,et al.  Reflections on the Prize Paper : "Near optimum error-correcting coding and decoding: turbo codes" , 1998 .

[4]  Joachim Hagenauer,et al.  A Viterbi algorithm with soft-decision outputs and its applications , 1989, IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond.

[5]  A. Glavieux,et al.  Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1 , 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.

[6]  Joseph J. Boutros,et al.  Turbo code at 0.03 dB from capacity limit , 2002, Proceedings IEEE International Symposium on Information Theory,.

[7]  G. David Forney,et al.  Convolutional codes I: Algebraic structure , 1970, IEEE Trans. Inf. Theory.

[8]  Robert G. Gallager,et al.  Low-density parity-check codes , 1962, IRE Trans. Inf. Theory.

[9]  Jung-Fu Cheng,et al.  Turbo Decoding as an Instance of Pearl's "Belief Propagation" Algorithm , 1998, IEEE J. Sel. Areas Commun..

[10]  Peter Elias,et al.  Error-free Coding , 1954, Trans. IRE Prof. Group Inf. Theory.

[11]  Robert Michael Tanner,et al.  A recursive approach to low complexity codes , 1981, IEEE Trans. Inf. Theory.

[12]  Gérard Battail.  Coding for the Gaussian channel - The promise of weighted-output decoding , 1989 .

[13]  John Cocke,et al.  Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) , 1974, IEEE Trans. Inf. Theory.