ID 原文 译文
24435 该文针对椭圆球面波(Prolate Spheroidal Wave Function, PSWF)时域正交调制信号峰均功率比过高，易受功率放大器非线性影响，造成信号失真，导致系统解调性能下降的问题，提出一种基于 μ 律压缩的自适应峰均比抑制方法。 A new companding transform based on μ-law companding schemes is proposed for the reduction of Peak-to-Average Power Ratio (PAPR) of Prolate Spheroidal Wave Function (PSWF) orthogonal modulation signal, which causes serious degradation in performance when a nonlinear Power Amplifier (PA) is used.
24436 该方法能够根据输入信号自适应调节压缩参数，有效压缩信号峰值，降低 PSWF 调制信号峰均功率比(Peak-to-Average Power Ratio, PAPR)，同时保证压缩前后信号平均功率不变。 According to the input signal, the method adjusts the compression parameters automatically, which can guarantee the average signal power constant before and after compression, compression signal peak.
24437 理论论证和仿真结果表明，该方法能够有效抑制 PSWF 调制信号 PAPR，当压缩参数m为 1 且互补累计分布函数 CCDF 为410-时，压缩后调制信号与原调制信号相比 PAPR 降低约 2.1 dB；有效改善经过功放后调制信号功率谱和系统在高斯白噪声信道下的误码性能。 Both the mathematical deduction and simulation results show that the proposed method can effectively reduce PAPR of PSWF orthogonal modulation signal, and effectively improve the power spectrum density of the signal and the BER performance of system under AWGN channel. The PAPR of compressed modulation signal decrease about 2.1 dB in comparison to the original modulation signal, when the parameter μ=1 and Complementary Cumulative Distribution Function CCDF=410-.
24438 考虑到在无线传感器网络中，新节点的加入或老节点的死亡均会导致拓扑呈动态变化，该文研究一种完全分布式二阶一致性时间同步(Second-Order Consensus Time Synchronization, SOCTS)算法。 Since in wireless sensor networks, the joint of new nodes or the death of old nodes lead to a dynamic topology, this paper studies one completely distributed Second-Order Consensus Time Synchronization (SOCTS) algorithm.
24439 将节点的时钟特性建模成二阶状态方程，按照伪同步周期广播节点的本地虚拟时间，根据邻居节点的本地虚拟时间的不一致来构造同步控制输入； The clock feature of each node is modeled into a second order state equation, and the local virtual time is broadcasted according to the pseudo synchronous cycle. Moreover, the synchronization control input is constructed according to the disagreement on local virtual time among neighboring nodes.
24440 通过坐标变换将网络的一致性时间同步问题转化为变换系统的稳定性问题，理论分析了 SOCTS 算法的收敛性和收敛条件，并研究了影响 SOCTS 算法收敛速度的因素。 By virtue of the matrix transformation, the network time synchronization issue is turned into the stability issue of some transformed system, and the convergence and convergence condition for the SOCTS algorithm are analyzed theoretically. Moreover, the factors that influence the convergence rate of the SOCTS algorithm are investigated.
24441 通过数值仿真实验验证了所提方法的有效性。 Finally, the effectiveness of the proposed method is verified by numerical simulations.
24442 该文提出一种称为 334 扩缩运算的多米诺扩缩运算。使用该运算构造了一类特殊的极大平面图——334-型极大平面图，证明了该类图均为树型 2-色不变圈着色，且每个4k-阶 334-型极大平面图恰有12k-个2-色不变圈着色及22k-个树着色。 In this paper, a new domino extending-contracting operation, called 334 extending-contracting operation, is put forward, on the basis of which, it is proposed to construct a particular kind of graphs, i.e., 334-type maximal planar graphs, and proved that all those graphs are tree-type and 2-chromatic cycle-unchanged colored and every 334-type maximal planar graphs of order 4k has exactly 12k- 2-chromatic cycled-unchanged colorings and 22k- tree-colorings.
24443 证明了该运算可用于构造纯树着色极大平面图，并提出猜想：若极大平面图G是纯树(纯圈，混合)着色，则对G实施334扩(缩)轮运算后，所得之图仍是纯树(纯圈，混合)着色。 Additionally, it is proved that an infinite family of purely tree-colored graphs can be generated by implementing a series of 334 extending-wheel operations, and conjectured that if a maximal planar graph G is purely tree-colored (purely cycle-colored or impure-colored), then the graph obtained by implementing one 334 extending-wheel (contracting-wheel) operation on G is still purely tree-colored (purely cycle-colored or impure-colored).
24444 虽然采用压缩感知技术(Compressive Sensing, CS)的差分SAR层析成像方法实现了4维空间信息的重构，但是此方法仅利用了目标的稀疏特性并没有考虑目标的结构特性，因此对同时具有稀疏特性和结构特性的目标进行重构时其性能较差。 While the use of differential SAR tomography based on Compressive Sensing (CS) makes it possible to reconstruct the four-dimensional information of an observed scene, the performance of the reconstruction decreases for a sparse and structural observed scene due to ignoring the structural characteristics of the observed scene.