Higher order spectral analysis can be used to identify nonlinearities in the complex dynamical systems.This proposal shows that the contributions of the bispectrum,trispectrum,reconstructed bispectrum and reconstructe...Higher order spectral analysis can be used to identify nonlinearities in the complex dynamical systems.This proposal shows that the contributions of the bispectrum,trispectrum,reconstructed bispectrum and reconstructed power spectrum in terms of the system frequency response function and elementary physical properties of the MR damping system.Subsequent estimates of the HOS based on the output stochastic oscillating signals appear distinct variation.An experimental platform for MR vibrating semi-active control is built,proper simplifications are presented,an AR(10) model is established with colored noises from the output signals.Comparison between power spectrum from second order moment function and bispectrum,trispectrum are taken.The later gives an indication of the correlation between the phases of different frequency components.Since time series model is a parametric model,the reconstructed bispectrum and power spectrum are smooth.It is demonstrated that the higher order spectra are effectively for recognition and description of nonlinear systems.展开更多
The nonlinear properties of rotating machinery vibration signals are presented. The relationship between faults and quadratic phase coupling is discussed. The mechanism that gives rise to quadratic phase coupling is a...The nonlinear properties of rotating machinery vibration signals are presented. The relationship between faults and quadratic phase coupling is discussed. The mechanism that gives rise to quadratic phase coupling is analyzed, and the coupling models are summarized. As a result, higher order spectra analysis is introduced into fault diagnosis of rotors. A brief review of the properties of higher order spectra is presented. Furthermore, the bicoherence spectrum is employed to extract the features that signify the machinery condition. Experiments show that bicoherence spectrum patterns of different faults are quite different, so it is proposed to identify the faults in rotors.展开更多
针对通信信号中调制方式识别存在识别精度低、泛化能力弱的问题,提出了一种基于双向长短时记忆网络(Bidirectional Long Short-Term Memory,BiLSTM)的通信信号调制识别方法,旨在通过融合多阶谱和高阶累积量特征,提高调制识别的准确性和...针对通信信号中调制方式识别存在识别精度低、泛化能力弱的问题,提出了一种基于双向长短时记忆网络(Bidirectional Long Short-Term Memory,BiLSTM)的通信信号调制识别方法,旨在通过融合多阶谱和高阶累积量特征,提高调制识别的准确性和泛化能力。实验表明,基于多特征融合的双向LSTM方法在调制方式识别任务中具有良好的准确性和鲁棒性,能够有效识别信号的调制方式。展开更多
Performance of traditional adaptive line enhancer （ALE） in suppressing Gaussian noise is low and can get worse at low input signal-to-noise ratio（SNR）. For greatly overcoming these disadvantages, feature of fourth...Performance of traditional adaptive line enhancer （ALE） in suppressing Gaussian noise is low and can get worse at low input signal-to-noise ratio（SNR）. For greatly overcoming these disadvantages, feature of fourth-order cumulant （FOC） different slices for quasi-stationary random process is analyzed, fourth order cumulant（FOC） different slice-based adaptive dynamic line enhancer is presented, and output SNR of the proposed enhancer is derived and bigger than that of the ALE via theoretical analysis. Simulation tests with the underwater moving target-radiated data have shown that the proposed enhancer outperforms the ALE in suppressing Gaussian noise and enhancing dynamic line spectrum feature.展开更多
射频干扰(Radio Frequency Interference,RFI)会对高频地波雷达有用回波产生较大影响。本文提出了一种慢时域射频干扰抑制方法,首先利用频谱监测数据实现射频干扰的分段检测,而后基于射频干扰在慢时域的短时相干性、强距离相关性和方向...射频干扰(Radio Frequency Interference,RFI)会对高频地波雷达有用回波产生较大影响。本文提出了一种慢时域射频干扰抑制方法,首先利用频谱监测数据实现射频干扰的分段检测,而后基于射频干扰在慢时域的短时相干性、强距离相关性和方向特性,在常规高阶奇异值分解(Higher-Order Singular Value Decomposition,HOSVD)方法的基础上,结合训练张量三种展开模式矩阵的特点,利用左、右奇异矩阵包含的频率信息实现对干扰子空间的准确估计,进而实现对射频干扰的分段消除。仿真和实测数据的处理结果都表明,该方法可以有效检测并消除射频干扰,提高了数据批处理的运算效率。展开更多
高频大地电磁法(HMT)信号在20 k Hz^100 k Hz频率范围内易受人文噪声干扰,电磁信号强度弱,数据误差大。本文提出采用高阶谱分析重构高频大地电磁非最小相位信号,进而有效抑制随机高斯噪声、提高信噪比。通过数值模拟信号和实测数据处理...高频大地电磁法(HMT)信号在20 k Hz^100 k Hz频率范围内易受人文噪声干扰,电磁信号强度弱,数据误差大。本文提出采用高阶谱分析重构高频大地电磁非最小相位信号,进而有效抑制随机高斯噪声、提高信噪比。通过数值模拟信号和实测数据处理,证明该方法能有效压制噪声,在提取实际地质信息方面优于传统方法。展开更多
基金Project(A0610020) supported by the Natural Science of Fujian Province of China
文摘Higher order spectral analysis can be used to identify nonlinearities in the complex dynamical systems.This proposal shows that the contributions of the bispectrum,trispectrum,reconstructed bispectrum and reconstructed power spectrum in terms of the system frequency response function and elementary physical properties of the MR damping system.Subsequent estimates of the HOS based on the output stochastic oscillating signals appear distinct variation.An experimental platform for MR vibrating semi-active control is built,proper simplifications are presented,an AR(10) model is established with colored noises from the output signals.Comparison between power spectrum from second order moment function and bispectrum,trispectrum are taken.The later gives an indication of the correlation between the phases of different frequency components.Since time series model is a parametric model,the reconstructed bispectrum and power spectrum are smooth.It is demonstrated that the higher order spectra are effectively for recognition and description of nonlinear systems.
文摘The nonlinear properties of rotating machinery vibration signals are presented. The relationship between faults and quadratic phase coupling is discussed. The mechanism that gives rise to quadratic phase coupling is analyzed, and the coupling models are summarized. As a result, higher order spectra analysis is introduced into fault diagnosis of rotors. A brief review of the properties of higher order spectra is presented. Furthermore, the bicoherence spectrum is employed to extract the features that signify the machinery condition. Experiments show that bicoherence spectrum patterns of different faults are quite different, so it is proposed to identify the faults in rotors.
文摘针对通信信号中调制方式识别存在识别精度低、泛化能力弱的问题,提出了一种基于双向长短时记忆网络(Bidirectional Long Short-Term Memory,BiLSTM)的通信信号调制识别方法,旨在通过融合多阶谱和高阶累积量特征,提高调制识别的准确性和泛化能力。实验表明,基于多特征融合的双向LSTM方法在调制方式识别任务中具有良好的准确性和鲁棒性,能够有效识别信号的调制方式。
文摘Performance of traditional adaptive line enhancer （ALE） in suppressing Gaussian noise is low and can get worse at low input signal-to-noise ratio（SNR）. For greatly overcoming these disadvantages, feature of fourth-order cumulant （FOC） different slices for quasi-stationary random process is analyzed, fourth order cumulant（FOC） different slice-based adaptive dynamic line enhancer is presented, and output SNR of the proposed enhancer is derived and bigger than that of the ALE via theoretical analysis. Simulation tests with the underwater moving target-radiated data have shown that the proposed enhancer outperforms the ALE in suppressing Gaussian noise and enhancing dynamic line spectrum feature.
文摘射频干扰(Radio Frequency Interference,RFI)会对高频地波雷达有用回波产生较大影响。本文提出了一种慢时域射频干扰抑制方法,首先利用频谱监测数据实现射频干扰的分段检测,而后基于射频干扰在慢时域的短时相干性、强距离相关性和方向特性,在常规高阶奇异值分解(Higher-Order Singular Value Decomposition,HOSVD)方法的基础上,结合训练张量三种展开模式矩阵的特点,利用左、右奇异矩阵包含的频率信息实现对干扰子空间的准确估计,进而实现对射频干扰的分段消除。仿真和实测数据的处理结果都表明,该方法可以有效检测并消除射频干扰,提高了数据批处理的运算效率。
文摘高频大地电磁法(HMT)信号在20 k Hz^100 k Hz频率范围内易受人文噪声干扰,电磁信号强度弱,数据误差大。本文提出采用高阶谱分析重构高频大地电磁非最小相位信号,进而有效抑制随机高斯噪声、提高信噪比。通过数值模拟信号和实测数据处理,证明该方法能有效压制噪声,在提取实际地质信息方面优于传统方法。
