基于改进匹配追踪算法的化爆地震波信号时频特征提取

通过化爆地震波信号的时频分析可以获取丰富的地下岩层信息,为进一步的化爆地震波特性研究提供支撑。本文中利用爆炸地震波信号的非平稳随机特性,提出一种改进的匹配追踪算法(matching pursuits),该方法能更有效地获取化爆地震波信号的时频信息。该算法首先对地震波信号进行Hibert变换,将其转换成复数信号,获得爆炸地震波信号瞬时频率相位参数,再进行子波分解,从而显著提高了匹配追踪算法的运算速率;用分解后的信号计算其魏格纳威利分布(Wigner Ville distribution),有效地消除了交叉干扰项的影响。将该方法用于实测地震波信号的时频分析,获得了分辨率较高的时频分布图,且运算速率大大提高。

     

太赫兹波段折叠波导行波管的线性分析和计算

给出了太赫兹波段折叠波导行波管中考虑管壁欧姆损耗的带电子束扰动的色散方程。求解该方程可以得到器件中小信号增益的值。通过编制Matlab程序,分析计算了不同工作点、不同折叠波导结构参数和不同工作频段时小信号增益的变化特性。计算结果表明：适当选取工作点和结构参数,可以获得最佳增益值;考虑损耗后,除了前向增长的辐射场外,还会出现反向传输的静态波;随着工作频段向高频方向延伸,前向波的增益显著降低,而反向波强度则增大。因此,工作频率提高时,为了达到一定大小的增益,需要的折叠波导的周期数也相应增加。     

利用收音机制作激光通信演示器

本文介绍了一种利用学生在电子技术实验课中自己组装的收音机,稍加改造而制作的一种简单适用、并且效果很好的激光通信演示器。     

A Fault Detection Method for Electrohydraulic Switch Machine Based on Oil-Pressure-Signal-Sectionalized Feature Extraction

A turnout switch machine is key equipment in a railway, and its fault condition has an enormous impact on the safety of train operation. Electrohydraulic switch machines are increasingly used in high-speed railways, and how to extract effective fault features from their working condition monitoring signal is a difficult problem. This paper focuses on the sectionalized feature extraction method of the oil pressure signal of the electrohydraulic switch machine and realizes the fault detection of the switch machine based on this method. First, the oil pressure signal is divided into three stages according to the working principle and action process of the switch machine, and multiple features of each stage are extracted. Then the max-relevance and min-redundancy (mRMR) algorithm is applied to select the effective features. Finally, the mini batch k-means method is used to achieve unsupervised fault diagnosis. Through experimental verification, this method can not only derive the best sectionalization mode and feature types of the oil pressure signal, but also achieve the fault diagnosis and the prediction of the status of the electrohydraulic switch machine.     

Entropy Could Quantify Brain Activation Induced by Mechanical Impedance-Restrained Active Arm Motion: A Functional NIRS Study

Brain activation has been used to understand brain-level events associated with cognitive tasks or physical tasks. As a quantitative measure for brain activation, we propose entropy in place of signal amplitude and beta value, which are widely used, but sometimes criticized for their limitations and shortcomings as such measures. To investigate the relevance of our proposition, we provided 22 subjects with physical stimuli through elbow extension-flexion motions by using our exoskeleton robot, measured brain activation in terms of entropy, signal amplitude, and beta value; and compared entropy with the other two. The results show that entropy is superior, in that its change appeared in limited, well established, motor areas, while signal amplitude and beta value changes appeared in a widespread fashion, contradicting the modularity theory. Entropy can predict increase in brain activation with task duration, while the other two cannot. When stimuli shifted from the rest state to the task state, entropy exhibited a similar increase as the other two did. Although entropy showed only a part of the phenomenon induced by task strength, it showed superiority by showing a decrease in brain activation that the other two did not show. Moreover, entropy was capable of identifying the physiologically important location.     

Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum

In a previous work, we proposed a time-frequency analysis called instantaneous spectral analysis (ISA), which generalizes the notion of the Fourier spectrum and in which instantaneous frequency is utilized to the fullest extent. In this paper, we recast both the Fourier transform (FT) and filterbank (FB) interpretations of the short-time Fourier transform (STFT) as instantaneous spectra. We show that to recast the FB interpretation of STFT as an instantaneous spectrum with valid structure, frequency reassignment is a fundamental necessity, thus demonstrating that this IS is closely related to the synchrosqueezed STFT. This result provides a new theoretical motivation for the synchrosqueezed STFT. Finally, we illustrate through example the instantaneous spectra corresponding to the FT and FB interpretations of STFT using two closed-form examples.     

激光对红外系统的失效机理和破坏效应研究

根据红外光学系统的会聚特性,用光学增益方法分析了红外系统中各元件对应的光强分布,确定了位于焦面附近光学元件是激光破坏的易损部件,并提出了强激光对红外系统元件损伤,造成其探测、制导功能失效的硬破坏机理;由红外滤光片、探测器和信号处理电路与入射激光波长的光谱响应分析,提出了弱激光对红外系统干扰,导致其探测、制导功能在激光辐照一段时间内失效的软破坏机理;开展了激光辐照红外系统的失效验证实验,较好地解释了其失效的机理和效应。     

基于内置电光晶体F P标准具的扫描滤波方法

基于内置电光晶体的F-P标准具,利用F-P多光束干涉原理和晶体的线性电光效应,提出了一种能有效提高啁啾脉冲信噪比的扫描滤波方法。给出了电光晶体加载电压的时变函数表达式,分析了影响信噪比提升效果的主要因素,并重点讨论了电光晶体的电压控制参数对信噪比提升效果和滤波器透过率的影响。研究结果表明,利用该扫描滤波方法可将啁啾脉冲激光信噪比提升约2个量级。     

简并四波混频实现全光信号幅度整形的系统设计

对光纤中简并四波混频(DFWM)耦合波方程进行数值求解,通过分析发现:泵浦光功率的增大会导致泵浦光与反斯托克斯光之间能量交换周期减小。阐述了优化光纤中DFWM实现全光信号幅度整形的机理。在此基础上设计了一个优化的全光信号幅度整形系统,并进行了系统仿真,结果表明:通过再生系统后,信号的消光比从9.46 dB提升到30.40 dB,品质因子从15.95提升到了180.40。