This article emphasisly talked about the two kind of technology , commonly used in laser pulse detection - floating threshold value and agc ( automatic gain control ) technology 文中重点对激光探测关键技术? ?浮动阈值和agc技术做了详细论述。
Moreover , the holographic grating was probed by 532 nm laser at low intensity and the dependence of the first order diffractive signal on the recording beam intensities was also presented 此外利用低功率532nm激光探测全息光栅并且得到了一级衍射信号与记录光功率之间的关系。
Tutor ' s brief introduction ： zhang ji - long , male , born in 1964 . 2 , tutor , acquired russia opto - electronic apparatus and system speciality doctor degree in 1999 . master research interests include : photoelectricity detecting 、 photoelectricity information processing 导师简介：张记龙，男， 1964年2月出生，博导， 1999年获俄罗斯光电仪器与系统专业博士学位，主要研究方向：激光探测技术，光电信息处理等。
In recent years , the longitudinal pulsed - discharge gas lasers with diffusive cooling have received renewed interests . a compact low power pulsed laser with high repetition rate has potential importance in laser exploration , fine mechanical processing , photochemistry and so on 近年来，纵向放电的脉冲气体激光器重新受到了人们的重视，一种小型的低功率的高重复频率脉冲激光器在激光探测、精细加工和光化学等许多应用领域，有重要的应用前景。
In order to better detect the image edge information , firstly , non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly , ( 3 , 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter , adopting lifting scheme to build the most superior biorthogonal wavelet filter , and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time , floating threshold was defined and applied to the image edge detection , and the image edge position was located accurately 在激光探测系统中，微弱的回波图像淹没在强背景噪声中，为更好地检测这类含噪图像的边缘信息，首先应用特征方向非线性中值滤波技术，滤去高斯噪声；其次，选择( 3 , 1 )双正交样条小波作为原始小波滤波器，采用提升方案构造最优双正交小波滤波器，应用构造的双正交小波进行多尺度小波边缘检测；同时，通过定义浮动阈值，并应用于图像边缘检测，较准确地定位了边缘位置。
In order to better detect the image edge information , firstly , non - linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly , ( 3 , 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter , adopting lifting scheme to build the most superior biorthogonal wavelet filters and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time , floating threshold was defined and applied to the image edge detection , and the image edge position was located accurately 在激光探测系统中，微弱的回波图像淹没在强背景噪声中，为更好地检测这类含噪图像的边缘信息，首先应用特征方向非线性中值滤波技术，滤去高斯噪声；其次，选择( 3 , 1 )双正交样条小波作为原始小波滤波器，采用提升方案构造最优双正交小波滤波器，应用构造的双正交小波进行多尺度小波边缘检测；同时，通过定义浮动阈值，并应用于图像边缘检测，较准确地定位了边缘位置。
