Turbo codes: principles and applications
Turbo codes: principles and applications
Determinism versus nondeterminism for linear time RAMs with memory restrictions
Journal of Computer and System Sciences - STOC 1999
Serial concatenation of interleaved codes: performance analysis, design, and iterative decoding
IEEE Transactions on Information Theory
The serial concatenation of rate-1 codes through uniform random interleavers
IEEE Transactions on Information Theory
A logarithmic upper bound on the minimum distance of turbo codes
IEEE Transactions on Information Theory
Decoding turbo-like codes via linear programming
Journal of Computer and System Sciences - Special issue on FOCS 2002
Spectra and minimum distances of repeat multiple-accumulate codes
IEEE Transactions on Information Theory
Tight bounds on computing error-correcting codes by bounded-depth circuits with arbitrary gates
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
Hi-index | 754.90 |
Worst-case upper bounds are derived on the minimum distance of parallel concatenated turbo codes, serially concatenated convolutional codes, repeat-accumulate codes, repeat-convolute codes, and generalizations of these codes obtained by allowing nonlinear and large-memory constituent codes. It is shown that parallel-concatenated turbo codes and repeat-convolute codes with sub-linear memory are asymptotically bad. It is also shown that depth-two serially concatenated codes with constant-memory outer codes and sublinear-memory inner codes are asymptotically bad. Most of these upper bounds hold even when the convolutional encoders are replaced by general finite-state automata encoders. In contrast, it is proven that depth-three serially concatenated codes obtained by concatenating a repetition code with two accumulator codes through random permutations can be asymptotically good.