实噪声参激Hopf分叉系统研究

采用随机平均法、扩散过程的奇点理论、不变测度方法分析了实噪声参激的分叉系统．明确了噪声的影响将使系统出现与原分叉点不同的噪声导致的分叉点。

实噪声参激一类余维2分叉系统的最大Lyapunov指数(Ⅰ)

对于三维中心流形上实噪声参激的一类余维２ 分叉系统，为使模型更具有一般性，取系统的参激实噪声为一线性滤波系统的输出＿ 零均值的平稳高斯扩散过程，并满足细致平衡条件· 并在此基础上首次使用 Ａｒｎｏｌｄ 的渐近方法以及 Ｆｏｋｋｅｒ＿ Ｐｌａｎｃｋ 算子的特征谱展式，求解不变测度以及最大的 Ｌｙａｐｕｎｏｖ 指数的ｅｍａｘ 的渐近展式·

实噪声参激一类余维2分叉系统的最大Lyapunov指数(Ⅱ)

对于三维中心流形上实噪声参激的一类余维2分叉系统,为使模型更具有一般性,取系统的参激实噪声为一线性滤波系统的输出_零均值的平稳高斯扩散过程,满足细致平衡条件· 并在此基础上首次使用Arnold的渐近方法以及Fokker_Planck算子的特征谱展式,求解不变测度以及最大的Lyapunov指数的渐近展式·

窄带实高斯噪声对外差式零拍装置的干扰机理

以外差式CW多普勒引信为例分析了外差式零拍装置提取差频信号的基本原理,把外差式零拍装置在数学层面上抽象为对线性叠加信号求平方后提取低频分量的模型。根据该模型,从理论上证明了:窄带实高斯噪声单独通过外差式零拍装置后输出的低频噪声的带宽将得到加倍,噪声与本振信号相互作用后产生新的噪声分量将使低频噪声功率比无本振信号时得到增加;回波信号加窄带平稳实高斯噪声通过零拍装置后干信比将得到增强,且增强的程度将随本振信号功率的增加而降低。计算机仿真分析的结果验证了上述结论,也正好解释了早期CW引信极易受到频率对准噪声干扰而早炸的实际情况。

调幅信号对具有量子噪声实虚部关联的饱和激光模型信噪比的影响

在调幅信号的影响下,用线性化近似方法研究了实虚部关联的量子噪声及泵噪声驱动的饱和激光模型的输出功率谱及信噪比.通过计算机数据计算及作图,具体讨论了系统随信号频率、量子噪声实虚部关联度λq、泵噪声强度等变化产生的随机共振现象.结果表明系统在λq=0处出现共振现象,虽然调制信号对系统产生了显著的影响,但由于量子噪声和泵噪声的零关联,系统随其他参数变化时没有随机共振现象.

宽带噪声作用下黏弹性板的矩Lyapunov指数

主要研究了在超音速流中受宽带噪声作用的黏弹性板随机振动系统的矩Lyapunov指数.首先,采用vonKarman板弯理论,活塞理论以及Galerkin近似法建立了两个自由度耦合的系统运动的随机微分方程.其次,应用随机平均法将四维系统降为二维系统.接着,对系统采用极坐标变换,通过Girsanov定理和Feynmann-Kac公式得到后向微分算子.通过对特征函数进行正交Fourier余弦级数展开得到系统矩Lyapunov指数的近似解析式.并通过Monte Carle仿真得到系统矩Lyapunov指数的数值解验证了近似解析式的可信性.最后研究了系统参数、气动力参数以及随机噪声谱密度对黏弹性板稳定性的影响.

受宽带噪声激励的二元机翼随机振动系统的矩Lyapunov指数

通过计算受宽带噪声参激的二元机翼随机振动系统的矩Lyapunov指数,研究了系统的矩稳定和概率1稳定。首先在经典二元机翼颤振方程中加入随机激励,通过随机平均法、Girsanov定理和Feynmann-Kac公式得到关于矩Lyapunov指数的特征值问题。其次采用Fourier余弦级数对特征函数进行正交展开,得到系统矩Lyapunov指数的近似解析式。最后,通过Monte Carlo仿真验证了矩Lyapunov指数近似解析式的可信性,并讨论了系统参数、来流平均速度以及随机噪声谱密度对机翼稳定性的影响。

基于时间反转的MIMO雷达实值MUSIC算法

针对时间反转(TR)多输入多输出(MIMO)雷达多重信号分类(MUSIC)算法计算量庞大的问题,提出一种基于时间反转的MIMO雷达实值MUSIC算法。首先,通过采用降维思想对TR MIMO回波信号进行降维处理,来减少计算量;然后,为将协方差矩阵转化到实数域,构造酉变换矩阵进行实值变换;最后,分解出实值协方差矩阵的噪声子空间,构造谱函数估计信号波达角。相对于传统的MUSIC算法,该算法借助实值变换剔除了复数运算,极大地降低了计算量,而且不需要空间平滑降低阵列孔径就具有解相干的能力。仿真结果证实了算法的正确性。

一类随机分叉系统概率1分叉研究

对于三维中心流形上实噪声参激的一类余维 2分叉系统 ,使用Arnold的渐近方法以及Fokker Planck算子的特征谱展式 。

Novel Algorithm for Active Noise Control Systems Based on Frequency Selective Filters

A novel algorithm for active noise control systems based on frequency selective filters （FSFANC） is presented in the paper. The FSFANC aims at the multi-tonal noise attenuation problem. One FSFANC system copes with one of the tonal components, and several FSFANC systems can run independently in paralld to cancel the selected multiple tones. The proposed algorithm adopts a simple structure with only two coefficients that can be explained as the real and imaginary parts of the structure to model the secondary path, and estimates the secondary path by injecting sinusoidal identification signals. Theoretical analysis and laboratory experiments show that the proposed algorithm possesses stone advantages, such as simpler structure, less computational burden, greater stability, and fast converging speed.

Stochastic Nature in Cellular Processes

The importance of stochasticity in cellular processes is increasingly recognized in both theoretical andexperimental studies.General features of stochasticity in gene regulation and expression are briefly reviewed in thisarticle,which include the main experimental phenomena,classification,quantization and regulation of noises.Thecorrelation and transmission of noise in cascade networks are analyzed further and the stochastic simulation methodsthat can capture effects of intrinsic and extrinsic noise are described.

Experimental and Numerical Study of Wind Noise Caused by Cowl Area on Volvo XC60

This paper presents a detailed experimental and numerical study of aerodynamically produced noise which occurs due to turbulent structures created by the cowl cavity and side mirror. Measurements were carried out at Volvo aerodynamical wind tunnel on a Volvo XC60 production model. The configurations considered here are： side mirror On/Off with the cowl cavity open/closed. The results of exterior sound source mapping （with the intensity probe placed in the flow stream） have been compared with the results of the measurements inside the car. The contribution of the cowl area to overall wind noise level is measured in terms of AI% （Articulation Index） inside the compartment. It was shown that increase in AI by 2% could be attributed to the cowl generated wind noise. Transient numerical simulations of the turbulent flow around the car have been performed for all configurations. The results of the simulations show similarity to experimental results and give insight to the flow structures around the car.

Traffic Noise Pollution： Spectra Characteristics and Windows Sound Insulation in Laboratory and Field Measurements

The traffic spectra influence on indoor noise through windows is evaluated with laboratory and field measurements. Different traffic noise spectra were registered and reproduced, simulating the outdoor traffic conditions through different windows. Spectrum adaptation terms for the recorded spectra were different from the ones obtained from the Standards, showing that Normative gives a safe evaluation of the Weighted Sound Insulation Index. In field measurements, the level abatements calculated from the Facade Acoustic Insulation Index corrected with the adaptation terms shows that the ones from the Standard do not give a good approximation, while if the level abatements is calculated using the adaptation terms from the registered spectra, a more reliable approximation is achieved. Furthermore, comparing the level abatements for two windows having both Rw equal to 41 dB, very different values were obtained at different frequencies; therefore to characterize acoustic performances of windows, sound insulation curves are also needed. The correlation between the mean difference between adaptation terms calculated from the standard and the one between abatements obtained with pink noise and the ones obtained with the registered spectra is good, but different for road traffic and trains. In both, the difference diminishes when the difference between the abatements increases.

Research of multi-channel impulse noise detection algorithms based on template

Attenuating the undesired audio noise generated by impulse noise,such as shot and scream of brakes,is specially useful for real-time audio recording of TV or broadcasting live report.On the basis of impulse noise detection algorithms based on template,this paper improves the method of establishing the template by using multiple microphones to pick up noise corrupted signals and impulse noises in the environment.The universal of thresholds is found and a detection algorithm with slope as the characteristic is proposed by comparing a variety of feature extraction algorithms.The proposed algorithm gets a significant improvement in testing speed and accuracy,which means it is suitable for real-time processing of audio signals.

Research on Real-time Monitoring of Abnormal Seismic Noise

The noise data in vertical component records of 85 seismic stations in Fujian Province during 2012 is used as the research object in this paper. The noise data is divided into fiveminute segments to calculate the power spectra. The high reference line and low reference line of station are then identified by drawing a probability density function graph( PDF)using the power spectral probability density function. Moreover, according to the anomalies of PDF graphs in 85 seismic stations,the abnormal noise is divided into four categories: dropped packet, low noise, high noise, and median noise anomalies.Afterwards,four selection methods are found by the high or low noise reference line of the stations,and the system of real-time monitoring of seismic noise is formed by combining the four selection methods. Noise records of 85 seismic stations in Fujian Province in July2013 are selected for verification,and the results show that the anomalous noise-recognition system could reach a 90% success rate at most stations and the effect of selection are very good. Therefore,it could be applied to the seismic noise real-time monitoring in stations.

Industrial Fault Signals Propagation and Current Signature Analysis

Motor current signature analysis provides good results in laboratory environment. In real life situation, electrical machines usually share voltage and current from common terminals and would easily influence each other. This will result in considerable amount of interferences among motors and doubt in identity of fault signals. Therefore, estimating the mutual influence of motors will help identifying the original signal from the environmental noise. This research aims at modelling the propagation of signals that are caused by faults of induction motors in power networks. Estimating the propagation pattern of fault signal leads to a method to discriminate and identify the original source of major events in industrial networks. Simulation results show that source of fault could be identified using this approach with a higher certainty than anticipated output coming of any individual diagnosis.

Experimental Research on Antiscale and Scale Removal by Ultrasonic Cavitation

Aiming at the scale problem in heat-transfer equipments, experimental investigation on antiscale and scale removalby ultrasonic cavitation is performed. By means of microscopic magnifying photography system, thesedimentary phenomenon can be observed. The experimental research reveals the influencing rule of acoustic intensity,cavitational distance, liquid temperature and solution concentration. The experimental results indicate thatliquid temperature has different effects on antiscale and scale removal. Different experimental liquids are used forantiscale and scale removal experiments. The results show that every liquid has a respective Cavitational activetemperature. When ultrasonic is used for antiscale, the smaller acoustic intensity is, the better effect is. But, whenultrasonic is used for scale removal, acoustic intensity has a reverse influence. In addition, biggish solution concentrationis propitious to antiscale for long-time running. Distance of test sample to ultrasonic transducer alsohas certain influence on antiscale and scale removal. The smaller the distance to ultrasonic transducer is, the bettereffects antiscale and scale removal have.

OPTIMAL TARGET TRAJECTORY ESTIMATION AND FILTERING USING NETWORKED SENSORS

Target tracking using distributed sensor network is in general a challenging problem because it always needs to deal with real-time processing of noisy information. In this paper the problem of using nonlinear sensors such as distance and direction sensors for estimating a moving target is studied. The problem is formulated as a prudent design of nonlinear filters for a linear system subject to noisy nonlinear measurements and partially unknown input, which is generated by an exogenous system. In the worst case where the input is completely unknown, the exogenous dynamics is reduced to the random walk model. It can be shown that the nonlinear filter will have optimal convergence if the number of the sensors are large enough and the convergence rate will be highly improved if the sensors are deployed appropriately. This actually raises an interesting issue on active sensing： how to optimally move the sensors if they are considered as mobile multi-agent systems？ Finally, a simulation example is given to illustrate and validate the construction of our filter.

Field acoustic measurements of high-speed train sound along BTIR

In this paper,single-point field measurements of noise radiated from high-speed trains were performed at two sites along Beijing-Tianjin intercity railway(BTIR),aiming at acquiring the realistic acoustic data for validation and verification of physical model and computational prediction.The measurements showed that A-weighted sound pressure levels(SPLs) were between 80 and 87 dBA as trains passed.The maximum noise occurred at the moment when the pantograph arrived,suggesting that pantograph noise was one of the most significant sources.Sound radiated from high-speed trains of BTIR was a typical broadband spectrum with most acoustic power restricted in the range of medium-high frequency from about 400 Hz to 5 kHz.Aerodynamic noise was shown to be the dominant one over other acoustic sources for high-speed trains.

Numerical Simulation for Fan Broadband Noise Prediction

In order to elucidate the broadband noise of fan,the numerical simulation of fan operating at two different rotational speeds is carried out using the three-dimensional unsteady Reynolds-averaged Navier-Stokes (URANS) equations.The computed results are compared to experiment to estimate its accuracy and are found to show good agreement with experiment.A method is proposed to evaluate the turbulent kinetic energy in the framework of the Spalart-Allmaras one equation turbulence model.From the calculation results,the turbulent kinetic energy is visualized as the turbulence of the flow which leads to generate the broadband noise,and its noise sources are identified.