This study proposes a novel multi-fractal spectrumbasedapproach to distinguish linear block codes from its selfsynchronousscrambled codes. Given that the linear block codeand self-synchronous scrambled linear block co...This study proposes a novel multi-fractal spectrumbasedapproach to distinguish linear block codes from its selfsynchronousscrambled codes. Given that the linear block codeand self-synchronous scrambled linear block code share the propertyof linear correlation, the existing linear correlation-basedidentification method is invalid for this case. This drawback can becircumvented by introducing a novel multi-fractal spectrum-basedmethod. Simulation results show that the new method has highrobustness and under the same conditions of bit error, the lowerthe code rate, the higher the recognition rate. Thus, the methodhas significant potential for future application in engineering.展开更多
The optimal and suboptimal structured algorithms of linear block codes from the geometrical perspective are represented.The minimum distance and weight property lemmas and the theorem are proved for the generator matr...The optimal and suboptimal structured algorithms of linear block codes from the geometrical perspective are represented.The minimum distance and weight property lemmas and the theorem are proved for the generator matrix.Based upon the property of generator matrix,the structured algorithms of linear block codes are demonstrated.Since the complexity of optimal structured algorithm is very high,the binary linear block codes is searched by using the suboptimal structured algorithm.The comparison with Bose-Chaudhuri-Hocquenqhem（BCH） codes shows that the searched linear block codes are equivalent on minimum distance and can be designed for more block lengths.Because the linear block codes are used widely in communication systems and digital applications,the optimal and suboptimal structured algorithms must have great future being widely used in many applications and perspectives.展开更多
针对间歇采样转发干扰产生的假目标和目标高速运动产生的多普勒频移导致雷达脉压性能急剧下降的问题,提出一种高多普勒容限的线性调频离散相位编码(linear frequency modulation-discrete phase coding,LFM-DPC)复合调制相干波形集设计...针对间歇采样转发干扰产生的假目标和目标高速运动产生的多普勒频移导致雷达脉压性能急剧下降的问题,提出一种高多普勒容限的线性调频离散相位编码(linear frequency modulation-discrete phase coding,LFM-DPC)复合调制相干波形集设计方法。在一定多普勒频移范围内,以最小化未转发信号自模糊函数旁瓣能量以及未转发信号与转发信号互模糊函数能量建立优化模型,并设计一种基于KKT(Karush-Kuhn-Tucker)最优性条件的迭代算法对模型求解。仿真实验表明,相比于遗传算法和单一调制的LFM和DPC信号,基于KKT最优性条件的交替迭代优化算法优化的LFM-DPC波形集有更好的抗间歇采样转发干扰性能。展开更多
基于网络编码(network coding,NC)的网络通信,其中间节点首先对来自源节点的信包进行编码,然后再转发,目标节点通过反编码得到源节点的原始信息.大量的理论结果表明,网络编码可以提高整个网络的吞吐量和稳定性.为了研究网络编码在P2P(pe...基于网络编码(network coding,NC)的网络通信,其中间节点首先对来自源节点的信包进行编码,然后再转发,目标节点通过反编码得到源节点的原始信息.大量的理论结果表明,网络编码可以提高整个网络的吞吐量和稳定性.为了研究网络编码在P2P(peer to peer)网络中的优越性,设计并实现了一个基于稀疏线性编码技术的P2P内容分发系统.实验结果表明,基于网络编码的系统在平均下载时间、总分发时间、整体吞吐量等几个方面都优于无编码的内容分发系统.展开更多
基于特征提取的图像分类算法的核心问题是如何对特征进行有效编码.局部约束线性编码(Locality-constrained linear coding,LLC)因其良好的特征重构性与局部平滑稀疏性,已取得了很好的分类性能.然而,LLC编码的分类性能对编码过程中的近邻...基于特征提取的图像分类算法的核心问题是如何对特征进行有效编码.局部约束线性编码(Locality-constrained linear coding,LLC)因其良好的特征重构性与局部平滑稀疏性,已取得了很好的分类性能.然而,LLC编码的分类性能对编码过程中的近邻数k的大小比较敏感,随着k的增大,编码中的某些负值元素与正值元素的差值绝对值也可能增大,这使得LLC越来越不稳定.本文通过在LLC优化模型的目标方程中引入非负约束,提出了一种新型编码方式,称为非负局部约束线性编码(Non-negative locality-constrained linear coding,NNLLC).该模型一般采取迭代优化算法进行求解,但其计算复杂度较大.因此,本文提出两种近似非负编码算法,其编码速度与LLC一样快速.实验结果表明,在多个广泛使用的图像数据集上,相比于LLC,NNLLC编码方式不仅在分类精确率上提高了近1%～4%,而且对k的选取具有更强的鲁棒性.展开更多
基金supported by the National Natural Science Foundation of China(61171170) the Natural Science Foundation of Anhui Province(1408085QF115)
文摘This study proposes a novel multi-fractal spectrumbasedapproach to distinguish linear block codes from its selfsynchronousscrambled codes. Given that the linear block codeand self-synchronous scrambled linear block code share the propertyof linear correlation, the existing linear correlation-basedidentification method is invalid for this case. This drawback can becircumvented by introducing a novel multi-fractal spectrum-basedmethod. Simulation results show that the new method has highrobustness and under the same conditions of bit error, the lowerthe code rate, the higher the recognition rate. Thus, the methodhas significant potential for future application in engineering.
文摘The optimal and suboptimal structured algorithms of linear block codes from the geometrical perspective are represented.The minimum distance and weight property lemmas and the theorem are proved for the generator matrix.Based upon the property of generator matrix,the structured algorithms of linear block codes are demonstrated.Since the complexity of optimal structured algorithm is very high,the binary linear block codes is searched by using the suboptimal structured algorithm.The comparison with Bose-Chaudhuri-Hocquenqhem（BCH） codes shows that the searched linear block codes are equivalent on minimum distance and can be designed for more block lengths.Because the linear block codes are used widely in communication systems and digital applications,the optimal and suboptimal structured algorithms must have great future being widely used in many applications and perspectives.
基金supported by the National Natural Science Foundation of China(1127105011371183+2 种基金61403036)the Science and Technology Development Foundation of CAEP(2013A04030202013B0403068)
文摘针对间歇采样转发干扰产生的假目标和目标高速运动产生的多普勒频移导致雷达脉压性能急剧下降的问题,提出一种高多普勒容限的线性调频离散相位编码(linear frequency modulation-discrete phase coding,LFM-DPC)复合调制相干波形集设计方法。在一定多普勒频移范围内,以最小化未转发信号自模糊函数旁瓣能量以及未转发信号与转发信号互模糊函数能量建立优化模型,并设计一种基于KKT(Karush-Kuhn-Tucker)最优性条件的迭代算法对模型求解。仿真实验表明,相比于遗传算法和单一调制的LFM和DPC信号,基于KKT最优性条件的交替迭代优化算法优化的LFM-DPC波形集有更好的抗间歇采样转发干扰性能。
文摘基于网络编码(network coding,NC)的网络通信,其中间节点首先对来自源节点的信包进行编码,然后再转发,目标节点通过反编码得到源节点的原始信息.大量的理论结果表明,网络编码可以提高整个网络的吞吐量和稳定性.为了研究网络编码在P2P(peer to peer)网络中的优越性,设计并实现了一个基于稀疏线性编码技术的P2P内容分发系统.实验结果表明,基于网络编码的系统在平均下载时间、总分发时间、整体吞吐量等几个方面都优于无编码的内容分发系统.
文摘基于特征提取的图像分类算法的核心问题是如何对特征进行有效编码.局部约束线性编码(Locality-constrained linear coding,LLC)因其良好的特征重构性与局部平滑稀疏性,已取得了很好的分类性能.然而,LLC编码的分类性能对编码过程中的近邻数k的大小比较敏感,随着k的增大,编码中的某些负值元素与正值元素的差值绝对值也可能增大,这使得LLC越来越不稳定.本文通过在LLC优化模型的目标方程中引入非负约束,提出了一种新型编码方式,称为非负局部约束线性编码(Non-negative locality-constrained linear coding,NNLLC).该模型一般采取迭代优化算法进行求解,但其计算复杂度较大.因此,本文提出两种近似非负编码算法,其编码速度与LLC一样快速.实验结果表明,在多个广泛使用的图像数据集上,相比于LLC,NNLLC编码方式不仅在分类精确率上提高了近1%～4%,而且对k的选取具有更强的鲁棒性.
