目的:本文采用VC语言编程,借助MFC(Microsoft Foundation Classes)模块强大的绘图功能,用于仿真模拟心脏等复杂非线性体系的动力学过程。方法:首先,利用MFC程序模块整合的视图开发功能,将复杂体系各控制参量设置为面板上不同按钮,通过...目的:本文采用VC语言编程,借助MFC(Microsoft Foundation Classes)模块强大的绘图功能,用于仿真模拟心脏等复杂非线性体系的动力学过程。方法:首先,利用MFC程序模块整合的视图开发功能,将复杂体系各控制参量设置为面板上不同按钮,通过点击按钮观察复杂体系动力学过程随控制参数变化的情况;其次,通过添加放大或缩小功能按钮,可以方便地观察复杂相图的局部分形细节;再者,添加恰当的鼠标响应效果,可以实时观察不同条件下的动态演化效果。结果:利用视图仿真重点研究了心脏体系窦房结组织搏动过程,实时观察外界环境刺激对其起搏活动的调控作用,动态跟踪不同参数条件下,膜电压产生及传导的演化过程。通过仿真模拟与实验数据对比,揭示环境扰动与心律失常之间的内在联系及作用机制。结论:将MFC用于视图仿真,具有方便的可扩展性、直观形象的可视化效果、便利的局部放大功能等优点。模拟过程既直观形象,又方便明了,便于将来构建心脏等复杂系统的三维模型,进一步研究心脏的搏动过程。展开更多
Distributed video coding （DVC） is a new video coding approach based on Wyner-Ziv theorem. The novel uplink-friendly DVC, which offers low-complexity, low-power consuming, and low-cost video encoding, has aroused mor...Distributed video coding （DVC） is a new video coding approach based on Wyner-Ziv theorem. The novel uplink-friendly DVC, which offers low-complexity, low-power consuming, and low-cost video encoding, has aroused more and more research interests. In this paper a new method based on multiple view geometry is presented for spatial side information generation of uncalibrated video sensor network. Trifocal tensor encapsulates all the geometric relations among three views that are independent of scene structure; it can be computed from image correspondences alone without requiring knowledge of the motion or calibration. Simulation results show that trifocal tensor-based spatial side information improves the rate-distortion performance over motion compensation based interpolation side information by a maximum gap of around 2dB. Then fusion merges the different side information （temporal and spatial） in order to improve the quality of the final one. Simulation results show that the rate-distortion gains about 0.4 dB.展开更多
The paper aims to challenge non-GPS navigation problems by using visual sensors and geo-referenced images. An area-based method is proposed to estimate full navigation parameters(FNPs), including attitude, altitude an...The paper aims to challenge non-GPS navigation problems by using visual sensors and geo-referenced images. An area-based method is proposed to estimate full navigation parameters(FNPs), including attitude, altitude and horizontal position, for unmanned aerial vehicle(UAV) navigation. Our method is composed of three main modules: geometric transfer function, local normalized sobel energy image(LNSEI) based objective function and simplex-simulated annealing(SSA) based optimization algorithm. The adoption of relatively rich scene information and LNSEI, makes it possible to yield a solution robustly even in the presence of very noisy cases, such as multi-modal and/or multi-temporal images that differ in the type of visual sensor, season, illumination, weather, and so on, and also to handle the sparsely textured regions where features are barely detected or matched. Simulation experiments using many synthetic images clearly support noise resistance and estimation accuracy, and experimental results using 2367 real images show the maximum estimation error of 5.16(meter) for horizontal position, 9.72(meter) for altitude and 0.82(degree) for attitude.展开更多
文摘目的:本文采用VC语言编程,借助MFC(Microsoft Foundation Classes)模块强大的绘图功能,用于仿真模拟心脏等复杂非线性体系的动力学过程。方法:首先,利用MFC程序模块整合的视图开发功能,将复杂体系各控制参量设置为面板上不同按钮,通过点击按钮观察复杂体系动力学过程随控制参数变化的情况;其次,通过添加放大或缩小功能按钮,可以方便地观察复杂相图的局部分形细节;再者,添加恰当的鼠标响应效果,可以实时观察不同条件下的动态演化效果。结果:利用视图仿真重点研究了心脏体系窦房结组织搏动过程,实时观察外界环境刺激对其起搏活动的调控作用,动态跟踪不同参数条件下,膜电压产生及传导的演化过程。通过仿真模拟与实验数据对比,揭示环境扰动与心律失常之间的内在联系及作用机制。结论:将MFC用于视图仿真,具有方便的可扩展性、直观形象的可视化效果、便利的局部放大功能等优点。模拟过程既直观形象,又方便明了,便于将来构建心脏等复杂系统的三维模型,进一步研究心脏的搏动过程。
文摘Distributed video coding （DVC） is a new video coding approach based on Wyner-Ziv theorem. The novel uplink-friendly DVC, which offers low-complexity, low-power consuming, and low-cost video encoding, has aroused more and more research interests. In this paper a new method based on multiple view geometry is presented for spatial side information generation of uncalibrated video sensor network. Trifocal tensor encapsulates all the geometric relations among three views that are independent of scene structure; it can be computed from image correspondences alone without requiring knowledge of the motion or calibration. Simulation results show that trifocal tensor-based spatial side information improves the rate-distortion performance over motion compensation based interpolation side information by a maximum gap of around 2dB. Then fusion merges the different side information （temporal and spatial） in order to improve the quality of the final one. Simulation results show that the rate-distortion gains about 0.4 dB.
文摘The paper aims to challenge non-GPS navigation problems by using visual sensors and geo-referenced images. An area-based method is proposed to estimate full navigation parameters(FNPs), including attitude, altitude and horizontal position, for unmanned aerial vehicle(UAV) navigation. Our method is composed of three main modules: geometric transfer function, local normalized sobel energy image(LNSEI) based objective function and simplex-simulated annealing(SSA) based optimization algorithm. The adoption of relatively rich scene information and LNSEI, makes it possible to yield a solution robustly even in the presence of very noisy cases, such as multi-modal and/or multi-temporal images that differ in the type of visual sensor, season, illumination, weather, and so on, and also to handle the sparsely textured regions where features are barely detected or matched. Simulation experiments using many synthetic images clearly support noise resistance and estimation accuracy, and experimental results using 2367 real images show the maximum estimation error of 5.16(meter) for horizontal position, 9.72(meter) for altitude and 0.82(degree) for attitude.
