由于抑尘培训过程中火车进站不停车以及抑尘配料专业性高、危险性大等原因,铁路抑尘作业的现场培训一直备受关注。为了降低现场操作风险,采用Open Scene Graph(OSG)技术,开发了一套铁路抑尘系统虚拟仿真培训平台,并采用底层算法封装,模...由于抑尘培训过程中火车进站不停车以及抑尘配料专业性高、危险性大等原因,铁路抑尘作业的现场培训一直备受关注。为了降低现场操作风险,采用Open Scene Graph(OSG)技术,开发了一套铁路抑尘系统虚拟仿真培训平台,并采用底层算法封装,模块整合等技术实现了面向二次开发的API接口,方便了软件的升级扩展。针对抑尘喷淋过程中喷量实时变化的仿真难点,提出了基于粒子系统的喷淋仿真算法;并针对培训过程中所需要的声音效果,设计实现了基于OSGAL的实时虚拟反馈声效。经现场培训测试,平台能够满足培训的需要,解决了抑尘作业培训中的困难与不足。展开更多
A head-related transfer function （HRTF） model for fast and real-time synthesizing multiple virtual sound sources is proposed. A head-related impulse response （HRIR, time- domain version of HRTF） is first decompose...A head-related transfer function （HRTF） model for fast and real-time synthesizing multiple virtual sound sources is proposed. A head-related impulse response （HRIR, time- domain version of HRTF） is first decomposed by a two-level wavelet packet and then represented by a model composed of subband filters and reconstruction filters. The coefficients of the subband filters are the zero interpolation of the wavelet coefficients of the HRIR. The coefficients of the reconstruction filters can be calculated from the wavelet function. The model is simplified by applying a threshold method to reduce the wavelet coefficients. The calculated results indicate that for a model with 30 wavelet coefficients, the error of reconstructed HRIR is about 1%. And the result of a psychoacoustic test shows that a model with 35 wavelet coefficients is perceptually indistinguishable from the original HRIR. When multiple virtual sound sources are synthesized simultaneously, the computational cost of the proposed model is much less than the traditional HRTF filters.展开更多
文摘由于抑尘培训过程中火车进站不停车以及抑尘配料专业性高、危险性大等原因,铁路抑尘作业的现场培训一直备受关注。为了降低现场操作风险,采用Open Scene Graph(OSG)技术,开发了一套铁路抑尘系统虚拟仿真培训平台,并采用底层算法封装,模块整合等技术实现了面向二次开发的API接口,方便了软件的升级扩展。针对抑尘喷淋过程中喷量实时变化的仿真难点,提出了基于粒子系统的喷淋仿真算法;并针对培训过程中所需要的声音效果,设计实现了基于OSGAL的实时虚拟反馈声效。经现场培训测试,平台能够满足培训的需要,解决了抑尘作业培训中的困难与不足。
基金supported by the National Nature Science Fund of China(50938003,10774049)State Key Lab of Subtropical Building Science,South China University of Technology
文摘A head-related transfer function （HRTF） model for fast and real-time synthesizing multiple virtual sound sources is proposed. A head-related impulse response （HRIR, time- domain version of HRTF） is first decomposed by a two-level wavelet packet and then represented by a model composed of subband filters and reconstruction filters. The coefficients of the subband filters are the zero interpolation of the wavelet coefficients of the HRIR. The coefficients of the reconstruction filters can be calculated from the wavelet function. The model is simplified by applying a threshold method to reduce the wavelet coefficients. The calculated results indicate that for a model with 30 wavelet coefficients, the error of reconstructed HRIR is about 1%. And the result of a psychoacoustic test shows that a model with 35 wavelet coefficients is perceptually indistinguishable from the original HRIR. When multiple virtual sound sources are synthesized simultaneously, the computational cost of the proposed model is much less than the traditional HRTF filters.
