多波段线性调频傅里叶域锁模光电振荡器

提出了一种基于傅里叶域锁模光电振荡器(Fourier domain mode-locked optoelectronic oscillator, FDML OEO)的多波段可重构线性调频信号产生方案.在该方案中,由扫频多波长激光器、相位调制器和光陷波滤波器等构成FDML OEO的核心单元——快速扫频的多通带微波光子滤波器.将扫频多通带微波光子滤波器的扫频周期和FDML OEO的环腔延时同步,可实现傅里叶域锁模,从而在FDML OEO腔内自激振荡产生多波段线性调频微波信号.与传统的基于高速基带线性调频微波源的微波光子多波段线性调频信号产生方案相比,该方案结构简单,成本低,不需要借助外部的高速基带线性调频微波源.此外,FDML OEO所产生的多波段线性调频信号的带宽和中心频率均宽带可调.该新型多波段线性调频微波信号源在先进多波段雷达、多业务泛在接入无线通信等系统中具有良好的应用前景.     

基于波形聚类分析的微地震监测事件类型判别及应用

以不同类型微地震监测事件在波形相似性上的差异为基础, 结合发生位置、走时规律和偏振方向等方面的特征, 提出一种基于波形聚类分析的微地震监测事件类型判别方法。首先使用常规的微地震事件识别算法, 快速地得到待分类的疑似事件; 然后进行波形聚类分析, 结合事件的属性特征, 实现对不同类型微地震事件及噪声事件的分类和判别。分类结果可用于波形模板匹配, 识别同类的低信噪比微地震事件; 还可将所有同类事件作为一个整体, 采用全局优化手段提高初至拾取的精度。     

Diagnosis of multiple faults using a double parallel two-hidden-layer extreme learning machine

Multiple faults are easily confused with single faults.In order to identify multiple faults more accurately,a highly efficient learning method is proposed based on a double parallel two-hidden-layer extreme learning machine,called DPTELM.The DPT-ELM method is a variant of an extreme learning machine(ELM).There are some issues with ELM.First,achieving a high accuracy requires too many hidden nodes;second,the direct connection between the input layer and the output layer is ignored.Accordingly,to deal with the above-mentioned problems,DPT-ELM extends the single-hidden-layer ELM to a two-hidden-layer ELM,which can achieve a desired performance with fewer hidden nodes.In addition,a direct connection is built between the input layer and the output layer.Since the input layer weights and the thresholds of the two hidden layers are determined randomly,this simplifies the improved model and shortens the calculation time.Additionally,to improve the signal to noise ratio(SNR),an adaptive waveform decomposition(AWD)algorithm is used to denoise the vibration signal.Then,the denoised signal is used to extract the eigenvalues by the time-domain and frequency-domain methods.Finally,the eigenvalues are input to the DPT-ELM classifier.In this paper,two groups of rolling bearing data at different speeds,which were collected from a real experimental platform,are used to test the method.Each set of data includes three single fault states,two complex fault states and a healthy state.The experimental results demonstrate that the DPT-ELM method achieves fast learning speed and a high accuracy.Moreover,based on 10-fold cross-validation,it proves to be an effective method to improve the accuracy with fewer hidden nodes.     

心电计算机辅助诊断中的波形检测和识别方法研究

将医生读图经验引入波形识别,抛弃了仅就波形形态进行识别的做法,提出了采用Ⅱ、Ⅴ_5导双基准导联进行波形检测和多基线体系实现参数测量等新方法。用本方法编写的自动诊断程序可诊断40多种心脏病。经304例验证及313例临床应用,与医生读图的符合率超过90%,说明该方法对提高自动诊断的正确率有显著效果。     

动力学系统伪谱与扰动系统谱的关系

波形松弛算子通常是高度非正规的。这时，采用传统的谱概念来研究算子和迭代法的特性就会遇到困难。利用常微分方程系统波形松弛算子的伪谱，证明扰动系统波形松弛算子的谱是矩阵束伪谱，并给出扰动系统的谱通常包含在未扰动系统的伪谱中，从而进一步证实了在非正规系统中伪谱确实是一个有用的科学计算工具。     

单片机波形发生器的设计

本文介绍一种利用８０３１单片机构成的波形发生器，对波形产生的原理、方法、频率控制及幅度控制进行了叙述，给出了详细的硬件原理图，主程序流程图及部分子程序流程图。     

阵列天线分析中渐近波形估计技术的应用研究

利用矩量法(methodofmoments,MoM)结合渐近波形估计(asymptoticwaveformevaluaton,AWE)技术研究了阵列天线的辐射特性,由MoM求得天线上每个单元的电流分布,将任意频率下的电流分布在给定频率下展开成Taylor级数,根据Pade逼近法,采用AWE技术快速实现天线宽带响应,得出了天线上的电流分布、输入导纳以及辐射方向图。最后对某一阵列天线进行了分析计算,结果证明,采用AWE/MoM结合的方法完全能逼近MoM方法的计算结果,且计算时间较短。     

Signal processing technique for randomly discontinuous spectra HF radar waveforms

A major problem with all high frequency (HF) radars is a relatively poor range resolution available due to many interference sources. To avoid the interferences in frequency domain and operate with wideband, the randomly discontinuous spectra (RDS) signal is employed. However, it results in high range sidelobes when matching the reflected echo, which is much more difficult for target detection. A new signal processing technique that is radically different from the conventional technique to lower range sidelobes is introduced. This method is based on suppressing the selfclutter of the radar range ambiguity function (AF) by mismatched filtering. An effective algorithm is adopted to solve the filter coefficients. Simulation results show that the peak sidelobe level can be reduced to -30dB and the achievable system bandwidth is about 400KHz. The technique is adaptable to practical radar systems and applicable for other realtime signal processing.     

Application of frequency-domain waveform inversion method in Marmousi shots data

Frequency-domain waveform seismic tomography includes modeling of wave propagation and full waveform inversion of correcting the initial velocity model. In the forward modeling, we use direct solution based on sparse matrix factorization, combined with nine-point finite-difference for the linear system of equations. In the waveform inversion, we use preconditioned gradient method where the preconditioner is provided by the diagonal of the approximate Hessian matrix. We successfully applied waveform inversion method from low to high frequency in two sets of Marmousi data. One is the data set generated by frequencydomain finite-difference modeling, and the other is the original Marmousi shots data set. The former result is very close to the true velocity model. In the original shots data set inversion, we replace the prior source with estimated source; the result is also acceptable, and consistent with the true model.     

荔枝蝽在荔枝上取食行为的刺探电位分析

利用刺吸电位技术(EPG)测定了荔枝蝽4龄若虫在寄主荔枝上的取食行为。结果表明,荔枝蝽在荔枝上取食过程中产生了5 种波形：分别为NP波（非刺探波）、α波（刺探波）、β波（撕裂植物细胞波）、γ波（取食波）、δ波（取食结束波），但对不同品种荔枝没有明显差别，表明荔枝蝽对不同品种荔枝没有明显取食选择性。研究结果对于揭示荔枝蝽及其寄主荔枝之间的互作关系具有一定的意义。