碳纤维复合材料对超声衰减的频域分析

采用反射法对两组不同碳纤维复合材料试块进行了超声检测, 并用快速傅立叶变换( FFT) 方法分析了信号的频域特征。结果表明: 超声衰减系数与频率之间存在线性关系, 而且其斜率随孔隙率的增大而增大。孔隙对超声波的衰减作用使超声信号的峰值降低、频宽变窄且使中心频率降低。超声信号矩心频率的偏移与孔隙率之间、超声衰减率与孔隙率之间均呈线性关系。频域内的特征量与孔隙率之间的线性关系为建立正确的孔隙率频域检测模型提供了基础。      

一种鲁棒的线纹尺图像刻线提取算法研究

为解决光照不均匀、锈斑、污损等因素造成的钢卷尺图像检测识别不准确问题,提出了一种基于Cabor变换的钢刻线提取方法。通过Cabor变换,使特征方向与特定频率的线条结构被过滤呈现出来,基于这些线条结构计算图像中的线纹尺待检刻线位置,之后通过RANSAC算法拟合刻线的双边缘,从而准确获得刻线中心位置。经实验证明,该算法可以在刻线质量较差的情况下,鲁棒地识别破损和有锈斑的刻线,有效地提高检测准确度和整个测量系统的鲁棒性,具有技术参考价值。     

改进谐波小波及其在振动信号时频分析中的应用

针对谐波小波在时域衰减速度慢的缺点,对其在频域进行光滑化处理,得到了性质更好的改进谐波小波。由于采用光谱化方法只能得到改进小波在频域的表达式,因而采用基于FFT的算法对它进行计算。针对振动信号一般舸样点较多的特点,采用计算等间隔小波系数的方法以减少计算量。以改进谐波小波对某新型导弹空中点火试验的振动信号进行了时频分析,并采用计算时频图等高图的方法以消除大部分无用的信息,得到了振动信号的高清晰时频图。     

A simple spatial domain algorithm to increase the residues of wrapped phase maps

In phase unwrapping, the locations and densities of the residues are indicative of the severity of the unwrapping problem. Gdeisat et al. proposed an algorithm to increase the number of residues in a wrapped phase map to improve the results of phase unwrapping. The method proposed, though, is extremely time-consuming involving the computation of a Fourier transform along with the selection and shift of its spectral components. Moreover, there is no theoretical analysis on the reasons why the frequency shift should be able to increase the number of residues. In an attempt to address these problems, we propose a simple algorithm to increase the number of residues in a wrapped phase map. The algorithm uses a simple multiply operation in spatial domain to realize the frequency shift exploiting the frequency shift property of Fourier transform. We also discuss the relationship between the number of residues and frequency shift. Experimental results have demonstrated that the proposed method can speed up by more than 50% of the calculation time.     

基于调制FFT的谐振式SAW传感器快速频率估计算法

针对高动态环境下的谐振式声表面波（Surface Acoustic Wave,SAW）传感器快速精确频率估计,提出一种基于调制快速傅里叶变换（Fast Fourier Transform,FFT）的谐振式SAW传感器快速频率估计算法。对单次谐振式SAW传感器回波信号进行N点取样后进行调制FFT计算,获得回波信号频谱,然后利用最大谱线的两相邻谱线取代I_Rife算法频谱细化后的谱线对频率偏移因子进行估计,最后使用频率偏移因子对最大频谱频率进行修正。该算法较I_Rife算法不需要判断频率修正方向,减少了3N次复数乘法和4（N-1）次复数加法运算,频率估计均方根误差的平均值减小了26%。该算法在提高精度的同时,实现了对谐振式SAW传感器的快速频率估计。     

频谱校正时谱线干涉的影响及判定方法

针对现代比例（内插）频谱校正法要求参与计算的两条谱线只包含单频率成分信号的特点，分析了包含有两个以上频率成分信号和负频率成分所产生的谱线干涉现象及由此带来的较大校正误差问题，推导并提出了离散频谱中谱干涉的相位和幅值综合判断方法以及校正的可信度，当可信度为１００％时，此离散谱峰为单频率成分，由此实现了单频率信号离散频谱的自动校正。仿真计算表明该方法简便易行、精度高     

基于谱峭度的谐波模态检测方法

在旋转机械领域,周期激励的存在使运行模态分析中含有谐波模态。根据结构模态和谐波模态的谱峭度值的不同,该文提出了基于谱峭度的谐波模态辨识方法。首先,给出了谱峭度的定义及其无偏估计算法;其次,从理论上证明应用此方法不需要滤波处理,并提出了简单且易于实现的优化方法;然后,应用频域空间域分解算法分离出谐波模态去除其对结构模态的影响;最后,通过仿真及实验成功检测出了谐波模态并消除其影响,验证了方法的有效性和可靠性。     

Time-varying autoregressive spectral estimation for ultrasound attenuation in tissue characterization

In the field of biological tissue characterization, fundamental acoustic attenuation properties have been demonstrated to have diagnostic importance. Attenuation caused by scattering and absorption shifts the instantaneous spectrum to the lower frequencies. Due to the time-dependence of the spectrum, the attenuation phenomenon is a time-variant process. This downward shift may be evaluated either by the maximum energy frequency of the spectrum or by the center frequency. In order to improve, in strongly attenuating media, the results given by the short-time Fourier analysis and the short-time parametric analysis, we propose two approaches adapted to this time-variant process: an adaptive method and a time-varying method. Signals backscattered by an homogeneous medium of scatterers are modeled by a computer algorithm with attenuation values ranging from 1 to 5 dB/cm MHz and a 45 MHz transducer center frequency. Under these conditions, the preliminary results obtained with the proposed time-variant methods, compared with the classical short-time Fourier analysis and the short-time auto-regressive (AR) analysis, are superior in terms of standard deviation (SD) of the attenuation coefficient estimate. This study, based on nonstationary AR spectral estimation, promises encouraging perspectives for in vitro and in vivo applications both in weakly and highly attenuating media.     

离散频谱四点能量重心校正法及抗噪性能分析

在对比离散频谱能量重心法采用不同点数时的频率、幅值和相位校正精度的基础上提出了4点能量重心校正法,推导了高斯白噪声背景下单频率谐波信号采用4点能量重心法进行频率、幅值和相位校正的统计方差公式,通过仿真计算验证了其正确性.分析对比了采用不同点数进行能量重心校正时的优缺点,建议在工程中采用Han-ning窗4点能量重心法进行谐波信号离散频谱校正.     

Analysis of low-order autoregressive models for ultrasonic grain signal characterization

When testing materials nondestructively with ultrasound, the grain scattering signal provides information that may be correlated to regional microstructure variation. Second and third-order autoregressive (AR) models are used to evaluate the spectral shift in grain signals by utilizing features such as resonating frequency, maximum energy frequency, or AR coefficients. Then, Euclidean distance, based on these features, is applied to classify grain scattering characteristics. Using both computer simulated data and experimental results, the probability of correct classification is found to be about 75% for the second-order AR model and 88% for the third-order AR model, when the conditions are such that the expected shift between the center frequency of echoes is less than 4%. This implies that, by increasing the order of the AR model, the frequency information extracted from the random signal is increased, which can result in obtaining a better classification.     

A direct perturbation method investigation of the interplay between self-frequency shift and cross-phase modulation for solitons

The self-frequency shift of solitons, mainly observed in femtosecond pulses and arising from the Raman effect, can be counteracted by the cross-phase modulation (XPM) arising from collisions between pulses of different frequency. The same could be said for the time displacement that follows the frequency shift. The current work is an analytical approach to the interplay between the Raman self-frequency shift and XPM with third-order dispersion (TOD) effects taken into account. By using coupled NLS equations, the effect of XPM between two channels is considered for the cases of complete and incomplete collision. The analysis is based on the direct perturbation method and provides quantitative and qualitative insight of the spectral and temporal evolution of ultra short soliton pulses.     

Third harmonic transmit phasing for tissue harmonic generation

Generation of tissue harmonic signals during acoustic propagation is based on the combined effect of two different spectral interactions of the transmit signal. One produces harmonic whose frequency is the sum of transmit frequencies. The other results in harmonic at difference frequency of the transmit signals. Both the frequency-sum component and the frequency-difference component are sensitive to the phase of their constitutive spectral signals. In this study, a novel approach for modifying the amplitude of tissue harmonic signal is proposed based on phasing these two components to achieve either harmonic enhancement or suppression. Both experiments and simulations were performed to investigate the effects of 3f0 transmit phasing on tissue harmonic generation. Results indicate that the relative phasing between the frequency-sum component and the frequency-difference component markedly changes the amplitude of the second harmonic signal. For harmonic enhancement, approximate 6 dB increase of second harmonic amplitude can be achieved while the lateral harmonic beam pattern also is improved as compared to conventional situations in which only the frequency-sum component is considered. For harmonic suppression, the second harmonic signal also could be significantly reduced by about 11 dB when the frequency-difference component is out of phase with the frequency-sum component. Hence, the method of 3f0 transmit phasing has potentials for both improving signal-to-noise ratio in tissue harmonic imaging and enhancing image contrast in contrast-agent imaging by suppression of tissue harmonic background.     

Exact analysis of dispersive SAW devices on ZnO/diamond/si-layered structures

In this paper, a formulation for calculating the effective permittivity of a piezoelectric layered SAW structure is given, and the exact frequency response of ZnO/diamond/Si-layered SAW is calculated. The effective permittivity and phase velocity dispersion of a ZnO/diamond/Si-layered half space are calculated and discussed. The frequency response of an unapodized SAW transducer is calculated, and the center frequency shift caused by the velocity dispersion is explained. In addition, the electromechanical coupling coefficients of the ZnO/diamond/Si-layered half space based on two different formulas are calculated and discussed. Finally, based on the results of the study, we propose an exact analysis for modeling the layered SAW device. The advantage of using the effective permittivity method is that, not only the null frequency bandwidth, but also the center frequency shift and insertion loss can be evaluated     

Spectral histogram using the minimization algorithm-theory and applications to flaw detection

In ultrasonic flaw detection in large grained materials, backscattered grain noise often masks the flaw signal. To enhance the flaw visibility, a frequency diverse statistical filtering technique known as split-spectrum processing has been developed. This technique splits the received wideband signal into an ensemble of narrowband signals exhibiting different signal-to-noise ratios (SNR). Using a minimization algorithm, SNR enhancement can be obtained at the output. The nonlinear properties of the frequency diverse statistic filter are characterized based on the spectral histogram, which is the statistical distribution of the spectral windows selected by the minimization algorithm. The theoretical analysis indicates that the spectral histogram is similar in nature to the Wiener filter transfer function. Therefore, the optimal filter frequency region can be determined adaptively based on the spectral histogram without prior knowledge of the signal and noise spectra.     

标定飞机方向舵角位移的视觉测量法

飞机飞行性能试验前需标定其方向舵的角位移传感器.基于单目视觉,以三个圆心为靶面的基本标志,圆周为辅助标志;用两直线段的交点标明圆心位置.取平行于像面的直径为特征直径,借助它容易从像面椭圆图像提取靶面深度信息,并建立简单、精确的逆透视变换公式.设计了亚像素法处理照片,能精确测出圆心像点位置和特征直径的像长,用来求圆心的世界坐标,得到靶面的平面方程.舵的角位移可用靶面角位移表示.计算机仿真结果,圆心像点位置测量误差小于0.02 pixel,角位移测量误差小于0.005°.靶面与舵轴不平行导致的测量误差能及时修正,可降低对靶面安装的要求,使操作简单.能在现场标定飞机副翼、襟翼,升降舵、方向舵的角位移.     

Analysis of Harmonics in Power Systems Using the Wavelet-Packet Transform

This paper proposes a new algorithm based on the wavelet-packet transform for the analysis of harmonics in power systems. The proposed algorithm decomposes the voltage/current waveforms into the uniform frequency bands corresponding to the odd-harmonic components of the signal and uses a method to reduce the spectral leakage due to the imperfect frequency response of the used wavelet filter bank. This paper studies the selection of the mother wavelet, the sampling frequency, and the frequency characteristics of the wavelet filter bank for the two most common wavelet functions used for harmonic analysis and compares the performance of the proposed method with the results obtained using the discrete Fourier transform (DFT) analysis and the harmonic-group concept introduced by the International Electrotechnical Commission (IEC) under different measurement conditions.     

Triangular Self-Convolution Window With Desirable Sidelobe Behaviors for Harmonic Analysis of Power System

Weak harmonic components can easily be obscured by nearby strong harmonics due to the spectral leakage in the power system. To obtain a window suitable for solving the problem, the Triangular self-convolution window (TSCW) is constructed, with the Triangular window being the parent window to take advantages of its narrow major lobe and simple computation. A TSCW-based phase difference correction algorithm for calculating the power system signal parameters, such as frequency, phase, and amplitude, is presented in this paper. The TSCW has a low peak sidelobe level, a high sidelobe rolloff rate, and a simple spectral representation. Leakage errors and harmonic interferences are thus considerably reduced by weighting samples with the TSCW. The TSCW-based phase difference correction algorithm is free of solving high-order equations, and the overall method can easily be implemented in embedded systems. The effectiveness of the method proposed was analyzed by means of computer simulations and practical experiments for multifrequency signals without noise and with quantization noise.      

半球谐振子超精密修调方法研究

目的 研究因谐振子质量缺陷而引起的频率裂解机制,进而对刚性轴位置进行质量高分辨率可控去除,提高陀螺精度。方法 首先基于多区域配合划分法建立半球谐振子高精度有限元仿真模型,分析质量大小与位置对谐振子频差的影响规律。其次搭建谐振子振动特性检测平台,利用拍频法实现其频差值和刚性轴位置的精确辨识。最后结合仿真与辨识结果以及离子束加工方法确定谐振子超精密修调方案。结果 优化网格划分方法后,谐振子有限元模型频差值小于0.000 1 Hz,当修调定位误差相同时,在一个范围内的质量去除比单点质量去除的修调效率更高;谐振子质量缺陷四次谐波刚性轴位置辨识精度可达0.1°,与常见的幅值法相比,其精度提高了一个数量级;通过三次点线结合方式进行质量修调后,谐振子频差值小于0.001 Hz,修调效率与精度得到了提升。结论 提出的谐振子仿真模型、振动特性测试方法以及离子束修调工艺精度较高且可行性较强,对实现半球谐振子性能高精度检测以及高质量加工具有重要意义。     

Improving accuracy in estimation of artery-wall displacement by referring to center frequency of RF echo

Noninvasive measurement of mechanical properties, such as elasticity, of the arterial wall, is useful for diagnosis of atherosclerosis. The elasticity of the arterial wall can be estimated by combining measurement of displacement of the arterial wall with that of blood pressure. In general, the displacement of the arterial wall is estimated from the phase shift of radio frequency (RF) echoes between two consecutive frames using a correlation estimator with quadrature demodulated complex signals. Recently, digitized data of broadband RF echoes are available in modern diagnostic equipment. The Fourier transform can be used to estimate the phase of the RF echo at each frequency within the RF frequency bandwidth. Therefore, the phase shifts between RF echoes of two consecutive frames can be estimated at multiple frequencies. In this estimation, due to object displacement, the RF echo is time shifted in comparison with that of the previous frame. However, the position of the time window for the Fourier transform is not changed between two consecutive frames. This change in relative position between the RF echo and the time window has a strong influence on the estimation of the artery-wall displacement, resulting in error. To suppress this error, the phase shift should be estimated at the actual RF center frequency. In this paper, this error suppression was investigated through simulation experiments and in vivo experiments on the human carotid artery.     

A spectral representation based model for Monte Carlo simulation

A new model is proposed for generating samples of real-valued stationary Gaussian processes. The model is based on the spectral representation theorem stating that a weakly stationary process can be viewed as a superposition of harmonics with random properties. The classical use of this theorem for Monte Carlo simulation is based on models consisting of a superposition of harmonics with fixed frequencies but random amplitude and phase. The resulting samples have the same period depending on the discretization of the frequency band. In contrast, the proposed model consists of a superposition of harmonics with random amplitude, phase, and frequency so that different samples have different periods depending on the particular sample values of the harmonic frequencies.

A band limited Gaussian white noise process is used to illustrate the proposed Monte Carlo simulation algorithm and demonstrate that the estimates of the covariance function based on the samples of the proposed model are not periodic.