MemoryMonitor demonstrates the use of the java.lang.management API in observing the memory usage of all memory pools consumed by the application. This simple demo program queries the memory usage of each memory pool and plots the memory usage history graph. To run the MemoryMonitor demo java -jar <JDK_HOME>/demo/management/MemoryMonitor.jar
标签： the MemoryMonitor demonstrates management
上传时间： 2015-12-04
上传用户：bcjtao
Winhex, for observing windows hex files or device information
标签： information observing windows Winhex
上传时间： 2016-10-29
上传用户：tedo811
A one-dimensional calibration object consists of three or more collinear points with known relative positions. It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates around a ¯ xed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration is proposed，and then the linear estimation is further re¯ ned using the maximum likelihood criteria. The simulated and real image experiments show that the proposed algorithm is valid and robust.
标签： one-dimensional calibration collinear consists
上传时间： 2014-01-12
上传用户：璇珠官人
A fourier filter for time-series signals. Does not require the Signal Processing Toolbox. There is an interactive version with sliders that allow you to adjust the filter parameters continuously while observing the effect on your signal dynamically.
标签： time-series Processing fourier Toolbox
上传时间： 2013-12-19
上传用户：change0329
Interactive smoothing for time-series signals, with sliders that allow you to adjust the smoothing parameters continuously while observing the effect on your signal dynamically. Run SmoothSliderTest to see how it works.
标签： smoothing Interactive time-series signals
上传时间： 2014-12-07
上传用户：xinyuzhiqiwuwu
12.5mDEM数据，是ALOS（Advanced Land observing Satellite，2006年发射）卫星相控阵型L波段合成孔径雷达（PALSAR）采集。该传感器具有高分辨率、扫描式合成孔径雷达、极化三种观测模式。该数据水平及垂直精度可达12.5米。该文件为江苏省分市12.5m DEM数据
上传时间： 2022-05-13
上传用户：
