In this paper, we treat the turbo decoding algorithm as a dynamical system parameterized by the SNR (signal-to-noise ratio). A whole range of nonlinear phenomena, including chaos ...
Turbo decoding architectures have greater error correcting capability than any other known code. Due to their excellent performance turbo codes have been employed in several trans...
: The main problem concerning the hardware implementation of turbo codes is the lack of parallelism in the MAP-based decoding algorithm. This paper proposes to overcome this proble...
David Gnaedig, Emmanuel Boutillon, Michel Jé...
— In forward error correction, convolutional turbo codes were introduced to increase error correction capability approaching the Shannon bound. Decoding of these codes, however, ...
To satisfy the advanced forward-error-correction (FEC) standards, in which the Convolutional code and Turbo code may co-exit, a prototype design of a unified Convolutional/Turbo de...