基于小波包分解和FK分析的次声信号参数估计

频率波数分析法是一种估计信号慢度和方位角的台阵数据处理方法,在地震波信号处理中得到广泛应用,但将频率波数分析法应用于次声信号的时候,分辨率不高,易受噪声的影响,伪峰较明显。因此,本文提出了一种基于小波包分解和FK分析的次声信号参数估计方法,该方法借助小波包分解对信号整个频带的分辨能力,有效提高了算法的分辨率,降低了噪声的影响,有效压制了伪峰,并利用高斯调制正弦信号模拟次声信号,对比分析了方位角的均值、方差和均方根误差,验证了算法的性能,最后利用IS45台站接收的实际次声数据对算法进行对比分析,进一步验证了算法的有效性。     

次声管道降噪滤波器优化设计

提出了基于声学响应模型与群差分进化算法的次声管道降噪滤波器优化设计方法,在理想条件和工程实践两种情景下设计了管道滤波器的结构参数并仿真分析了降噪性能表现。结果表明:（1）理想条件下的设计结果在约0.1～0.8 Hz的频带内取得了5 dB以上的降噪性能提升,最大提升达到12 dB。（2）工程实践情景的设计结果在各种环境风速中最大可以取得约3dB的性能提升。（3）大风速条件的优化设计可应用于环境风速未知或变化较大的场景。分析结果表明所提设计方法可以有效设计管道滤波器,优化设计的管道滤波器在降噪性能上优于传统管道滤波器。     

Using sensitivity derivatives for design and parameter estimation in an atmospheric plasma discharge simulation

The problem of applying sensitivity analysis to a one-dimensional atmospheric radio frequency plasma discharge simulation is considered. A fluid simulation is used to model an atmospheric pressure radio frequency helium discharge with a small nitrogen impurity. Sensitivity derivatives are computed for the peak electron density with respect to physical inputs to the simulation. These derivatives are verified using several different methods to compute sensitivity derivatives. It is then demonstrated how sensitivity derivatives can be used within a design cycle to change these physical inputs so as to increase the peak electron density. It is also shown how sensitivity analysis can be used in conjunction with experimental data to obtain better estimates for rate and transport parameters. Finally, it is described how sensitivity analysis could be used to compute an upper bound on the uncertainty for results from a simulation.     

Sound, infrasound, and sonic boom absorption by atmospheric clouds

This study quantifies the influence of atmospheric clouds on propagation of sound and infrasound, based on an existing model [Gubaidulin and Nigmatulin, Int. J. Multiphase Flow 26, 207-228 (2000)]. Clouds are considered as a dilute and polydisperse suspension of liquid water droplets within a mixture of dry air and water vapor, both considered as perfect gases. The model is limited to low and medium altitude clouds, with a small ice content. Four physical mechanisms are taken into account: viscoinertial effects, heat transfer, water phase changes (evaporation and condensation), and vapor diffusion. Physical properties of atmospheric clouds (altitude, thickness, water content and droplet size distribution) are collected, along with values of the thermodynamical coefficients. Different types of clouds have been selected. Quantitative evaluation shows that, for low audible and infrasound frequencies, absorption within clouds is several orders of magnitude larger than classical absorption. The importance of phase changes and vapor diffusion is outlined. Finally, numerical simulations for nonlinear propagation of sonic booms indicate that, for thick clouds, attenuation can lead to a very large decay of the boom at the ground level.     

应用支持向量机和人工神经网络对大气次声信号 识别的初步实验

语音情感识别在许多领域具有重要研究价值,不同声学情感特征在使用不同分类器进行分类时,识别效果具有明显差异。与语音情感有关的声学特征包括谱特征、韵律学特征、音质特征。该文提出一种特征融合的方法,将3种声学特征中具有最好识别能力的特征进行融合:保留在实验中表现稳定且有较高识别率的谱特征的全部特征,提取韵律学、音质特征的相关统计量作为辅助特征融合于谱特征中。实验表明,该文所提出的融合特征在使用同一分类器进行分类时,识别率优于单一特征;当使用不同分类器时,融合特征依然具有较好的识别能力,且识别性能稳定,3个数据集上均有较好的识别率,基本实现跨数据集识别。     

Scintillation of Airy beam arrays in atmospheric turbulence

We investigate the scintillation properties of Airy beam arrays in atmospheric turbulence. By utilizing the "self-bending" propagation property of Airy beams, the constituent beamlets propagate through relatively independent regions of turbulence but still largely overlap at the on-axis detector. Through numeric simulations, it is shown that the scintillation of an Airy beam array is significantly reduced and close to the theoretical minimum.     

Critical current and order parameter in Josephson arrays

We give a definition of the order parameter for the paracoherent-ferrocoherent phase transition in a Josephson array and we show that the amplitude of the critical current in the array is proportional to this order parameter. We then discuss some qualitative properties of a Josephson array.     

Velocity magnitude estimation with linear arrays using Doppler bandwidth

The dependence of pulsed wave Doppler bandwidth on parameters typical of linear transducer arrays used in commercial Duplex and color flow mapping systems is investigated experimentally. For a single flow line it is observed that this bandwidth generally depends not only on the scatterer velocity and the beam-to-flow angle, but also on the flow line range and orientation. This is due to the fact that in Duplex and color flow systems the transducer is differently focused in the scan and elevation planes and its aperture and focal lengths are often made to vary, depending on the distance of the flow line from the transducer. It is however experimentally demonstrated that, at points where the ultrasound beamwidths in the scan and elevation planes are both comparable to the sample volume length, the Doppler bandwidth is independent of the beam-to-flow angle. It is also shown that this invariance can be extended to other ranges by appropriately modifying the array aperture. Finally, as an application of this independence, the flow-line velocity magnitude in these beam regions is estimated with better than 5% uncertainty through a simple bandwidth measurement.     

Environmental parameter estimation with the two-level atom probes

A novel scheme is proposed to estimate three environmental parameters, the detuning, the temperature and the squeezing strength with one-qubit or two-qubit probes. Quantum Fisher information and the fidelity of the atom probes are calculated. When the detuning between the frequency of cavity field and the atomic transition frequency is estimated, the dynamics of quantum Fisher information shows oscillatory and rising behaviors. To estimate the temperature of the thermal reservoir, the one-qubit probe with the superposition initial state is more favorable than the two-qubit probe with the entangled initial state. When the squeezing strength of the squeezed vacuum reservoir is estimated, we find that the estimation precision is significantly improved by utilizing the two-qubit probe with the maximal entangled initial state. Our work provides a potential application in the open quantum system and quantum information processing.     

Multi-objective optimization in quantum parameter estimation

We investigate quantum parameter estimation based on linear and Kerr-type nonlinear controls in an open quantum system, and consider the dissipation rate as an unknown parameter. We show that while the precision of parameter estimation is improved,it usually introduces a significant deformation to the system state. Moreover, we propose a multi-objective model to optimize the two conflicting objectives:(1) maximizing the Fisher information, improving the parameter estimation precision, and(2)minimizing the deformation of the system state, which maintains its fidelity. Finally, simulations of a simplified ε-constrained model demonstrate the feasibility of the Hamiltonian control in improving the precision of the quantum parameter estimation.     

Cosmological parameter estimation: methods

CMB anisotropy data could put powerful constraints on theories of the evolution of our Universe. Using the observations of the large number of CMB experiments, many studies have put constraints on cosmological parameters assuming different frameworks. Assuming for example inflationary paradigm, one can compute the confidence intervals on the different components of the energy densities, or the age of the Universe, inferred by the current set of CMB observations. The aim of this Note is to present some of the available methods to derive the cosmological parameters with their confidence intervals from the CMB data, as well as some practical issues to investigate large number of parameters. To cite this article: M. Douspis, C. R. Physique 4 (2003).     

超声波法测量大气折射率结构常数

 用AMK-02型超声波大气参数综合测量仪同时测量了常规气象参数和大气折射率结构常数C²_n,分析并找出了该仪器给出的C²_n在转换时刻与热丝温度脉动仪的测量结果差异较大的原因,是由于超声波法测量温度脉动精度太低,只能达到0.01 K。同时建立了另一种适用于超声波仪计算C²_n的方法,即利用该仪器准确的常规气象参数计算C²_n,其计算结果与热丝温度脉动仪的测量结果吻合较好。     

The effects of spectrograph slit modes on the accuracy of stellar radial velocity measurement and atmospheric parameter estimation

Spectrograph slit is conventionally used to enhance the spectral resolution and manage how much light can be allowed to enter spectrograph.The narrow slit provides a higher resolution but sacrifices efficiency of spectrograph and results in a low signal to noise ratio(S/N) spectra product.We take GuoShouJing telescope as an example and carry out a series of experiments to study how its 2/3 slit mode affects the precision of stellar radial velocity measurement and atmosphere parameters estimate.By transforming the resolution and adding a Gaussian White Noise to the extremely high quality spectra from the Sloan Digital Sky Survey,we generate synthetic stellar spectra of various brightness with different S/Ns.Comparing the measurements on these noise added spectra with the original high quality ones,we summarize the influences of the 2/3 slit mode on the measurement accuracy of stellar radial velocity and atmospheric parameters.     

Accurate state and parameter estimation in nonlinear systems with sparse observations

Transferring information from observations to models of complex systems may meet impediments when the number of observations at any observation time is not sufficient. This is especially so when chaotic behavior is expressed. We show how to use time-delay embedding, familiar from nonlinear dynamics, to provide the information required to obtain accurate state and parameter estimates. Good estimates of parameters and unobserved states are necessary for good predictions of the future state of a model system. This method may be critical in allowing the understanding of prediction in complex systems as varied as nervous systems and weather prediction where insufficient measurements are typical.     

降噪阵列参数对次声降噪系统性能的影响分析

次声降噪系统对提高次声监测能力具有重要作用,为分析次声降噪系统阵列结构参数变化对其降噪性能的影响规律,构建玫瑰型(rosette)管道滤波器降噪系统声电等效模型,进而利用风噪声模型和仿真数据对该模型的单进气口传递函数和系统降噪性能进行了定量分析,总结了不同阵列结构参数对该系统降噪性能的影响规律,最后对国际监测系统(International Monitoring System,IMS)玫瑰型管道滤波器的降噪性能进行了评估。仿真实验及分析结果表明:(1)进气口数量约取96,阵列尺寸约18 m,一、二级管内径取10~20 mm,一、二级合成腔体积不得超过1 L,系统能获得较好的降噪性能;(2)IMS玫瑰型管道滤波器符合最佳阵列参数设置要求;(3)满足最佳阵列参数设置的玫瑰型管道滤波器可大幅度地提高信噪比。该分析结果可为已有次声降噪系统提供性能评估,可对新的次声降噪系统设计提供参考。     

降噪阵列参数对次声降噪系统性能的影响分析

次声降噪系统对提高次声监测能力具有重要作用,为分析次声降噪系统阵列结构参数变化对其降噪性能的影响规律,构建玫瑰型(rosette)管道滤波器降噪系统声电等效模型,进而利用风噪声模型和仿真数据对该模型的单进气口传递函数和系统降噪性能进行了定量分析,总结了不同阵列结构参数对该系统降噪性能的影响规律,最后对国际监测系统(International Monitoring System,IMS)玫瑰型管道滤波器的降噪性能进行了评估。仿真实验及分析结果表明:(1)进气口数量约取96,阵列尺寸约18 m,一、二级管内径取10~20 mm,一、二级合成腔体积不得超过1 L,系统能获得较好的降噪性能;(2)IMS玫瑰型管道滤波器符合最佳阵列参数设置要求;(3)满足最佳阵列参数设置的玫瑰型管道滤波器可大幅度地提高信噪比。该分析结果可为已有次声降噪系统提供性能评估,可对新的次声降噪系统设计提供参考。     

Optimal precision of parameter estimation in images with local sub-Poissonian quantum fluctuations

Non-classical quantum effects allow light with local sub-Poissonian fluctuations below shot noise to be produced. We show that using such light can improve the estimation precision of a parameter in an image beyond the standard Poissonian limit. This benefit is theoretically investigated by means of a phenomenological model of local sub-Poissonian noise which assumes the independence of the fluctuations in each pixel. In particular, a bound on the best precision expectable independently of the exact unbiased estimation protocol used, which is given by the Cramer-Rao bound, is determined from this model. The numerical simulations presented in the special case of the estimation of a displacement of an image perturbed with local sub-Poissonian noise show that a standard estimator can overcome the classical Poissonian limit by reaching this limit precision only beyond a certain value of the photon flux which we characterize. We eventually present some numerical results that demonstrate the generality of the model proposed, of the optimality bounds and of the estimator performance.     

Nonlinear parameter estimation in water-saturated sandy sediment with difference frequency acoustic wave

Difference frequency acoustic wave from nonlinear interaction of two primary acoustic waves at frequencies of 76 and 114 kHz was utilized with a parametric acoustic array theory to estimate the nonlinearity parameter of water-saturated sandy sediment. Such nonlinearity parameter can be used as background information for the nonlinear acoustic investigation of bottom or sub-bottom profiling in the ocean sandy sediments. Because of its lower attenuation the difference frequency acoustic wave method can be usefully applied to estimate the nonlinearity parameter of ocean sediment in the ocean as well as under laboratory conditions. The nonlinearity parameter β for the water-saturated sandy sediment used as a reference in this study was estimated as β = 80.5 ± 5.1 at the difference frequency of 38 kHz. It was agreed very well with that estimated at the difference frequency of 67 kHz, when two primary frequencies were 137 and 204 kHz. The estimated nonlinearity parameter of water-saturated sandy sediment in this study was also compared and analyzed with those estimated in previously published literatures. It was suggested that the difference frequency wave method used to estimate the nonlinearity parameter of water-saturated sandy sediment can be employed as a good method to estimate the nonlinearity parameters of fluid-like granular media.     

State and parameter estimation in stochastic dynamical models

This paper derives generalized maximum likelihood estimates of state and model parameters of a stochastic dynamical model. In contrast to previous studies, the change in background distribution due to changes in model parameters is taken into account. An ensemble approach to solving the maximum likelihood estimates is proposed. An exact solution for the ensemble update based on a square root Kalman Filter is derived. This solution involves a two step procedure in which an ensemble is first produced by a standard ensemble Kalman Filter, and then “corrected” to account for parameter estimation, thereby allowing a user to take advantage of an existing ensemble filter. The solution is illustrated with simple, low-dimensional stochastic dynamical models and shown to work well and outperform augmentation methods for estimating stochastic parameters.