基于激光雷达观测的大气边界层自动识别局部最优点算法

大气边界层高度是影响近地面大气物理运动的主要因素,同时也是影响地面污染物浓度的一个重要因素。地基激光雷达可以对大气气溶胶的垂直分布进行连续稳定的监测,应用激光雷达技术对大气边界层进行连续观测可以为环境监测与预报提供指导性的动态信息。针对存在残留层以及外来污染物输入情况时边界层高度变化检测的可靠性及计算效率问题,结合梯度法的物理意义与激光雷达时序图的图形图像学特征,提出了一种基于时空邻近度的边界层局部最优点识别算法。以江苏省无锡市新区偏振米散射激光雷达太湖观测站点的气溶胶垂直观测数据为例,通过对2012年底两次污染事件进行观测分析,分别使用梯度法和局部最优点法进行大气边界层高度的自动识别。实验结果表明,在静稳状态和污染混入后的情况下,梯度法与局部最优点识别法的结果较为接近,但梯度法在处理污染混入状态以及存在残留层的情况下误判率较高。基于时空邻近度的局部最优点算法通过对垂直特征值以及水平相关性的控制,有效地消除了在弱信号、噪声信号、低云以及存在残留层和外来污染等情况下导致的计算机误判现象,在减小算法时间复杂度的同时在计算机自动识别结果具有更高的稳定性,弥补了梯度法在自动化运行中的识别精度与计算效率的不足。     

差分输入双积分电路在热电阻测温中的应用

针对常规分立双积分AD只能处理单端信号的问题,给出了一种输入和基准电压均支持差分信号的分立差分双积分AD。在热电阻测量中,把热电阻和基准电阻串联同一回路,以基准电阻压降作为基准,对热电阻的压降进行测量,并从软硬件两个方面对常见的误差因素进行对消处理。实验表明,该电路用于PT100测温时,跳字不超过0.1℃,精度可以达到±0.1℃,且对运放型号无特殊要求,是一种低成本、高精度的温度测量方案。     

Intermediate Self-similar Solutions of the Nonlinear Schrodinger Equation with an Arbitrary Longitudinal Gain Profile

We study pulse propagation in a normal-dispersion optical fibre amplifier with an arbitrary longitudinal gain profile by self-similarity techniques. We show the functional form of the development of low-amplitude wings on the parabolic pulse, which are associated with the evolution of an arbitrary input pulse to the asymptotic parabolic pulse solution. It is found that for the increasing gain the amplifier output corresponding to the input Gaussian pulse converges to the asymptotic parabolic pulse solution more quickly than the output obtained with the input hyperbolic secant pulse, whereas for the decreasing gain the input pulse profiles have nearly no effect on the speed of convergence to the parabolic pulse solution. These theoretical results are confirmed by numerical simulations.     

MCNP程序研究进展

MCNP是用来计算中子、光子、电子或者中子/光子/电子耦合问题的通用蒙特卡罗粒子输运计算程序,它以其灵活、通用的特点以及强大的功能,在诸多领域得到广泛认可和应用。但是由于其使用需要较强的专业水平,因而使得其在某些方面又显出一些弱点。对MCNP程序的发展过程以及今后的发展趋势进行了讨论,同时提出了作者的观点。     

测三极管特性的改进电路

指出了电子线路基础实验教材中所给出的测三极管特性的电路所存在的问题,提出了合理的电路.     

Mutual Information of Pauli Channels with Correlated Noise

A general formula for the mutual information of the Paufi channels with memory modelled by correlated noise is derived. It is shown that the mutual information depends on the channel shrinking factor, the input state parameter and the channel memory coefficient. The analyses based on the general formula reveal that the entanglement is always a useful resource to enhance the mutual information of some Pauli channels, such as the bit flip channel and the bit-phase flip channel. Our analyses also show that the entanglement is not advantageous to the reliable transmission of classical information for some Pauli channels at any time, such as the phase flip channel and the phase damping channel.     

High entanglement generation and high fidelity quantum state transfer in a non-Markovian environment

This paper analyses a system of two independent qubits off-resonantly coupled to a common non-Markovian reservoir at zero temperature. Compared with the results in Markovian reservoirs, we find that much higher values of entanglement can be obtained for an initially factorized state of the two-qubit system. The maximal value of the entanglement increases as the detuning grows. Moreover, the entanglement induced by non-Markovian environments is more robust against the asymmetrical couplings between the two qubits and the reservoir. Based on this system, we also show that quantum state transfer can be implemented for arbitrary input states with high fidelity in the non-Markovian regime rather than the Markovian case in which only some particular input states can be successfully transferred.     

用基于输入-输出线性化的自适应模糊方法控制混沌系统

用基于输入输出线性化的自适应模糊方法控制了两类混沌系统.它不仅能使混沌系统实现稳定,而且还能实现对混沌吸引子内部任意周期轨迹和外部周期轨迹的有效跟踪.这一方法的重要特点是:不仅不要求混沌系统的精确模型,而且对不容易建立起数学模型而有实际物理意义的混沌系统也能进行有效控制. 关键词：     

Suppression of Chaos and Phase Locking in Two Coupled Nonidentical Neurons under Periodic Input

Dynamical behaviour of two coupled neurons with at least one of them being chaotic is presented. Bifurcation diagrams and Lyapunov exponents are calculated to diagnose the dynamical behaviour of the coupled neurons with the increasing coupling strength. It is found that when the coupling strength increases, a chaotic neuron can be controlled by the coupling between neurons. At the same time, phase locking is studied by the maxima of the differences of instantaneous phases and average frequencies between two coupled neurons, and the inherent connection of phase locking and the suppression of chaos is formulated. It is observed that the onset of phase locking is closely related to the suppression of chaos. Finally, a way for suppression of chaos in two coupled nonidentical neurons under periodic input is suggested.     

频谱测量中的边带噪声误差估测

将频谱测量中的误差分为两大类，即被测信号的误差和频谱仪本身的误差。图1为仪器输入信号Vin中包含的噪声Vn和信号Vs的频谱，则瞬时噪声Vn=Vin-Vs,在频域上关于信号工对称。笋析证明边带噪声是由幅度噪声和相位噪声组成，并用小信号调制理论来描述，