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In this paper, we study the density evolution analysis of spatially coupled low-density parity-check (SC-LDPC) codes over binary input additive white Gaussian noise (BIAWGN) channels under the belief propagation (BP) decoding algorithm. Using reciprocal channel approximation and Gaussian approximation, we propose averaging techniques for the density evolution of SC-LDPC codes over BIAWGN channels...
Anytime transmission was previously shown to be necessary and sufficient for tracking and controlling an unstable plant over a noisy channel. In this paper, we propose an efficient channel coding scheme for anytime transmission. We design this coding scheme based on spatially coupled codes and investigate its performance over binary erasure channels (BEC) and binary input additive white Gaussian noise...
Response Code (QR code) is widely used in daily life in recent years because it has high capacity encoding of data, damage resistance, fast decoding and other good characteristics. Since it is popular, people can use it to transmit secret information without inspection. The development of steganography in QR code lead to many problems arising. How to keep the original content of QR code and embed...
In this paper, we propose an efficient channel coding scheme for anytime communications. We design this anytime code based on spatially coupled LDPC codes and investigate the performance over binary erasure channels. Through density evolution analysis, we asymptotically show the desired anytime properties of the proposed code. We also numerically predict the finite-length performance of the anytime...
We consider the media-access control problem for nodes with heavy traffic in single-destination wireless networks. We assume that each source transmits in each time slot according to a transmission probability, which is a continuous value between 0 and 1. Our goal is to determine the values of the transmission probabilities so that the network throughput is maximized. In this paper, we show that the...
Dependency network measures capture various facets of the dependencies among software modules. For example, betweenness centrality measures how much information flows through a module compared to the rest of the network. Prior studies have shown that these measures are good predictors of post-release failures. However, these studies did not explore the causes for such good performance and did not...
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