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Study of complex networks has been conducted across many fields of science, including computer networks, biological networks and social networks. Characteristics of different types of complex networks such as random networks, regular-coupled networks, small-world networks and scale-free networks have been discovered by researchers. Application of such network properties to solve engineering problems,...
It has been known that stopping sets and trapping sets are the main contributors to error floors exhibited by short-length low-density parity-check (LDPC) codes. In this work, a new metric called ldquoapproximate cycle set extrinsic message degree (ACSE)rdquo is defined to help removing stopping sets with small size and bad trapping sets. Based on the new metric, we propose a code-construction algorithm...
A modified on-demand belief propagation (bp) algorithm is proposed for decoding of low-density parity-check convolutional codes. the modification improves the efficiency of the on-demand bp algorithm updating the variable information by applying the feedback information at each iteration. a BER performance better than that of the on-demand bp algorithm can be achieved, while the decoding latency is...
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