Abstract--An iterative decoding threshold analysis for terminated regular LDPC convolutional (LDPCC) codes is presented. Using density evolution techniques, the convergence behavio...
Michael Lentmaier, Arvind Sridharan, Daniel J. Cos...
Abstract. Iterative learning is a model of language learning from positive data, due to Wiehagen. When compared to a learner in Gold's original model of language learning from...
The deterministic wireless relay network model, introduced by Avestimehr et al., has been proposed for approximating Gaussian relay networks. This model, known as the ADT network m...
The ongoing increase of computing performance facilitates a higher algorithmical complexity in video coding systems. The decoder may be able to estimate or derive prediction param...
Existing high-rate full diversity space-time codes (STC) always have high decoding complexity with traditional ML (maximum-likelihood) or near-ML decoding. Hence the decoding schem...
Tian Peng Ren, Yong Liang Guan, Chau Yuen, Er Yang...