Abstract:A low-delay loop detection algorithm for bit-flipping based iteration LDPC decoding is proposed.By introducing the concept of loop characteristic,only the iteration steps with loop characteristics are detecte...Abstract:A low-delay loop detection algorithm for bit-flipping based iteration LDPC decoding is proposed.By introducing the concept of loop characteristic,only the iteration steps with loop characteristics are detected and labeled for the subsequent loop detection.As a result,computation delay is greatly reduced.Furthermore,the position vector for the selected iteration steps is also established to implement loop detection for these iteration steps,which reduces the hardware cost of the loop detection as well.The validity of the proposed algorithm is verified by simulations.展开更多
In this article, we study a kind of vector singularly perturbed delay-amerenum equation. Using boundary layer function method and geometric analysis skill, the asymptotic expression of the system is constructed and th...In this article, we study a kind of vector singularly perturbed delay-amerenum equation. Using boundary layer function method and geometric analysis skill, the asymptotic expression of the system is constructed and the uniform validity of asymptotic solution is also proved.展开更多
针对网络控制系统中随机时延很难精确预测的问题,首次将核主成分分析(kernel principal compo-nent analysis,KPCA)与最小二乘支持向量机(least squares support vector machine,LSSVM)结合对随机时延进行预测,KPCA对输入随机时延序列降...针对网络控制系统中随机时延很难精确预测的问题,首次将核主成分分析(kernel principal compo-nent analysis,KPCA)与最小二乘支持向量机(least squares support vector machine,LSSVM)结合对随机时延进行预测,KPCA对输入随机时延序列降维,消除重复性与噪声,减少LSSVM的运算量,降维后的时延序列通过LSSVM算法预测时延值。仿真结果表明,基于KPCA与LSSVM的时延预测方法的预测精度高于其他的预测方法。展开更多
基金National Science Foundation of China(No.61072069)the 111 Project(B08038)
文摘Abstract:A low-delay loop detection algorithm for bit-flipping based iteration LDPC decoding is proposed.By introducing the concept of loop characteristic,only the iteration steps with loop characteristics are detected and labeled for the subsequent loop detection.As a result,computation delay is greatly reduced.Furthermore,the position vector for the selected iteration steps is also established to implement loop detection for these iteration steps,which reduces the hardware cost of the loop detection as well.The validity of the proposed algorithm is verified by simulations.
基金supported by the National Science Foundation of China(11071075)Introducing Talents Program of SIT (YJ2013-33)
文摘In this article, we study a kind of vector singularly perturbed delay-amerenum equation. Using boundary layer function method and geometric analysis skill, the asymptotic expression of the system is constructed and the uniform validity of asymptotic solution is also proved.
文摘针对网络控制系统中随机时延很难精确预测的问题,首次将核主成分分析(kernel principal compo-nent analysis,KPCA)与最小二乘支持向量机(least squares support vector machine,LSSVM)结合对随机时延进行预测,KPCA对输入随机时延序列降维,消除重复性与噪声,减少LSSVM的运算量,降维后的时延序列通过LSSVM算法预测时延值。仿真结果表明,基于KPCA与LSSVM的时延预测方法的预测精度高于其他的预测方法。
