TL;DR: LT codes are introduced, the first rateless erasure codes that are very efficient as the data length grows, and are based on EMMARM code, which was introduced in version 2.0.
Abstract: We introduce LT codes, the first rateless erasure codes that are very efficient as the data length grows.
TL;DR: In this paper, the authors introduce several classes of probabilistic Fountain codes, including LT-and Raptor codes, and discuss how they are used today to solve various data transmission problems on heterogeneous unreliable networks.
Abstract: A Fountain code is a code of fixed dimension and a limitless block-length. This is a class of codes with many interesting properties and applications. In this talk I will introduce several classes of probabilistic Fountain codes, including LT-and Raptor codes, show tools for their design and analysis, and discuss how they are used today to solve various data transmission problems on heterogenous unreliable networks. I will also talk about the theory of these codes when transmission takes place over non-erasure channels, and low-complexity algorithms are used for their decoding.
TL;DR: In this article, the concept of punctured convolutional codes is extended by punctuating a low-rate 1/N code periodically with period P to obtain a family of codes with rate P/(P+l), where l can be varied between 1 and (N-1)P. This allows transmission of incremental redundancy in ARQ/FEC (automatic repeat request/forward error correction) schemes and continuous rate variation to change from low to high error protection within a data frame.
Abstract: The concept of punctured convolutional codes is extended by punctuating a low-rate 1/N code periodically with period P to obtain a family of codes with rate P/(P+l), where l can be varied between 1 and (N-1)P. A rate-compatibility restriction on the puncturing tables ensures that all code bits of high rate codes are used by the lower-rate codes. This allows transmission of incremental redundancy in ARQ/FEC (automatic repeat request/forward error correction) schemes and continuous rate variation to change from low to high error protection within a data frame. Families of RCPC codes with rates between 8/9 and 1/4 are given for memories M from 3 to 6 (8 to 64 trellis states) together with the relevant distance spectra. These codes are almost as good as the best known general convolutional codes of the respective rates. It is shown that the same Viterbi decoder can be used for all RCPC codes of the same M. the application of RCPC codes to hybrid ARQ/FEC schemes is discussed for Gaussian and Rayleigh fading channels using channel-state information to optimise throughput. >
TL;DR: Rate one codes are designed which are quasi-orthogonal and provide partial diversity and the decoder of the proposed codes works with pairs of transmitted symbols instead of single symbols.
Abstract: It has been shown that a complex orthogonal design that provides full diversity and full transmission rate for a space-time block code is not possible for more than two antennas. Previous attempts have been concentrated in generalizing orthogonal designs which provide space-time block codes with full diversity and a high transmission rate. We design rate one codes which are quasi-orthogonal and provide partial diversity. The decoder of the proposed codes works with pairs of transmitted symbols instead of single symbols.
TL;DR: A new multilevel coding method that uses several error-correcting codes that makes effective use of soft-decisions to improve the performance of decoding and is superior to other multileVEL coding systems.
Abstract: A new multilevel coding method that uses several error-correcting codes is proposed. The transmission symbols are constructed by combining symbols of codewords of these codes. Usually, these codes are binary error-correcting codes and have different error-correcting capabilities. For various channels, efficient systems can be obtained by choosing these codes appropriately. Encoding and decoding procedures for this method are relatively simple compared with those of other multilevel coding methods. In addition, this method makes effective use of soft-decisions to improve the performance of decoding. The decoding error probability is analyzed for multiphase modulation, and numerical comparisons to other multilevel coding systems are made. When equally complex systems are compared, the new system is superior to other multilevel coding systems.