关于气液两相流流型及其判别的若干问题

气液两相流体系是一个复杂的多变量随机过程体系，流型的定 义、流型过渡准则和判别方法等方面的研究是多相流学科目前研究的 重点内容.本文就与气液两相流流型及其判别有关的研究状况进行了回 顾和评述，力图反映近年来气液两相流流型及其判别问题研究的状态 和趋势.     

Kalman filtering techniques for reducing variance of digital speckle displacement measurement noise

Target dynamics are assumed to be known in measuring digital speckle displacement. Use is made of a simple measurement equation, where measurement noise represents the effect of disturbances introduced in measurement process. From these assumptions, Kalman filter can be designed to reduce variance of measurement noise. An optical and analysis system was set up, by which object motion with constant displacement and constant velocity is experimented with to verify validity of Kalman filtering techniques for reduction of measurement noise variance.     

Tracking speckle displacement by double Kalman filtering

A tracking technique using two sequentially-connected Kalman filter for tracking laser speckle displacement is presented. One Kalman filter tracks temporal speckle displacement, while another Kalman filter tracks spatial speckle displacement. The temporal Kalman filter provides a prior for the spatial Kalman filter, and the spatial Kalman filter provides measurements for the temporal Kalman filter. The contribution of a prior to estimations of the spatial Kalman filter is analyzed. An optical analysis system was set up to verify the double-Kalman-filter tracker's ability of tracking laser speckle's constant displacement.