多小波与多进小波滤波器研究

本文给出了多小波与多进小波的滤波器构造过程,得到了它们的一些良好性质,并给了具体的实例,最后还对某些类型的多小波滤波器、多进小波滤波器之间存在的关系作了研究.     

A sequential software release policy

Most existing studies on software release policies use models based on the non-homogeneous Poisson process. In this paper, we discuss a software release policy based on a state space model. The state space model has a Gamma-Gamma type invariant conditional distribution. A cost model that removes errors in software systems and risk cost due to software failure is used. The optimal release time to minimize the expected cost in every test-debugging stage is discussed.     

Characterisation of optical detectors using high-accuracy instruments

The facilities of the Metrology Research Institute at the Helsinki University of Technology, and methods for characterisation of optical detectors for spectral radiant intensity and irradiance responsivity, are described. The instrumentation for such characterisations includes a reference spectrometer with a number of auxiliary set-ups, and equipment for the spectral irradiance measurements with a filter radiometer based on a trap detector. The methods of realising the spectral responsivity scales based on an absolute cryogenic radiometer in house are addressed. The procedures and results of characterisation of a multipoint measuring system of photosynthetically active radiation, by employing the available facilities, are briefly described. The absolute irradiance responsivity of the device is determined by using a photometric lamp, whose spectral irradiance has been measured with the filter radiometer. The combined standard uncertainty of this set of calibrations is 3.6% at the 1σ level. The uncertainty is caused almost completely by the multipoint measuring system.     

弹用平台惯导系统空中动基座对准技术

通过建立动基座对准速度匹配的系统模型，对影响传递对准的一些重要因素如杆臂效应、挠曲振动等进行了分析，按照既定的载机机动方案采集飞行数据进行离线仿真。仿真结果表明，自适应卡尔曼滤波可达到对准时间15min，水平对准误差小于1′，方位对准误差小于6′，水平轴陀螺测漂小于0．02（^o）/h的指标要求，证明S形机动速度匹配自适应卡尔曼滤波方案设计正确。利用机载试验数据进行的离线仿真验证，在将自适应卡尔曼滤波理论应用于工程实际方面以及对空中动基座对准方案的试验验证方面具有创新性。     

反射式双峰值全息滤光片的研制

本文利用重铬酸盐明股作为记录介质,采用双曝光记录工艺,试制了反射式双峰值波长的全息滤光片.这种全息滤光片双峰值衍射效率可达87%,带宽小于10nm,是一种新的具有潜在应用前景的全息光学元件.     

The influence of |ω| filter on nonlinearity parameter imaging using filtered convolution method

I.IntroductionThenon1inearityparametcrB/AisanimportantparametcrtomcasurcthenonlinearityofamediumandisdcfincdbythcratioofcoefficientsofquadratictermtolineartermintheTay1orexpansion.Itdcscribcsthedistortionofasinewaveasitpropagatesthroughtheme-dium.Inreccntycarsmuchattcntionhasbccnfocusedontheinvestigationofnon1incarityparameterinbio;ogicalmediasinceitcanprovidedynamicalinformationofthemediaandgivemoresensitivediffcrcnccbctwccnnorma1andabnorma1tissuesthantheotherlinearultrasonicparametcrssucha…     

基于一组Kalman滤波器信息融合的故障诊断

为了能及时准确地诊断发动机的传感器和执行机构故障,本文提出了基于一组Kalman滤波器信息融合的方法进行故障诊断。首先根据传感器特性设计了一组滤波器用于传感器故障诊断、隔离,每个滤波器针对一个传感器进行设计;其次根据执行机构故障特性设计了一组Kalman滤波器进行执行机构偏差估计,从而对执行机构进行故障诊断、隔离;接着给出了传感器、执行机构信息融合的诊断方案;最后分别给传感器、执行机构添加故障进行方案验证,仿真结果得出在传感器或者执行机构任意部件出故障的情况下,该融合方法可以有效地诊断并隔离出有故障的传感器或者执行机构。     

基于姿态跟踪的LINS晃动基座初始对准

为了提高激光捷联惯性导航系统在晃动基座上的初始对准准确度,将惯性仪表数据的低频波动看作载体真实姿态晃动的反映,采用对准算法跟踪这种姿态变化.粗对准在惯性坐标系进行,利用惯性系对准对姿态变化敏感的特性,跟踪载体姿态角变化,确保粗对准误差为小角度;精对准采用标准Kalman滤波,避免了复杂的非线性算法,将两个水平加速引入Kalman滤波的量测向量,利用水平加速度对姿态角变化的敏感性,提高了Kalman滤波对准算法跟踪载体姿态变化的能力.提出了一种晃动基座对准准确度的考核方法,通过激光捷联惯性导航系统车载晃动对准和跑车试验,表明所提对准算法可以在风扰、发动机工作、人员晃动等干扰条件下,实现自对准,对准时间180s,对准重复性为0.04°,跑车水平定位误差达到770m/h,满足高准确度惯性导航设备要求.     

Kalman filter based initial guess estimation for digital image correlation

In applications digital image correlation based algorithms often present a basis for analysis of movement/deformation of bodies. The sequence of the obtained images is analyzed for this purpose. Especially, in cases when the body׳s movement/deformation between two successive images is significant, the initial guess can have a major influence on the execution speed of the algorithm. In the worst case it can even cause the divergence of the algorithm. This was the inspiration to develop a new and unique approach for an accurate and reliable determination of an initial guess for each image pixel. Kalman filter has been used for this purpose. It uses past measurements of observed variable(s) for calculations. Beside that it also incorporates state space model of the actual system. This is one of the most important advantages provided by Kalman filter. The determined initial guess by the proposed method is actually close to the true one and it enables fast convergence. Even more important property of this approach is the fact that it is not path-dependant because each image pixel, which is defined in ROI, is tracked through the sequence of images based on its own past measurements and general state space model. Consequently, the proposed method can be used to analyze tasks where discontinuities between image pixels are present. The applied method can be used to predict an initial guess where reference and deformed subsets are related by translational and rotational motion. The advantages mentioned above are verified with numerical and real experiments. The experimental validations are performed by NR (Newton–Raphson) approach which is the most widely used. Beside NR method the presented algorithm is applicable for other registration methods as well. It is used as an addition for calculation of initial guesses in a sequence of deformed images.