码率分配是无反馈分布式视频编码中的关键技术之一.本文研究编码端快速边信息生成方法,基于边信息和Wyner-Ziv帧各个位平面误码率,提出了一种编码端码率分配算法（Bitplane Error Probability based Encoder Rate Control,BEP-ERC）.还...码率分配是无反馈分布式视频编码中的关键技术之一.本文研究编码端快速边信息生成方法,基于边信息和Wyner-Ziv帧各个位平面误码率,提出了一种编码端码率分配算法（Bitplane Error Probability based Encoder Rate Control,BEP-ERC）.还提出在编码端精确估计拉普拉斯—柯西混合分布（Laplace-Cauchy Mixture Distribution,LCMD）模型参数α和μ的思想.实验表明本文算法与现有算法相比,率失真性能提升0.1~0.4d B,且降低了编码端计算复杂度.展开更多
Most existing force feedback methods are still difficult to meet the requirements of real-time force calculation in virtual assembly and operation with complex objects. In addition, there is often an assumption that t...Most existing force feedback methods are still difficult to meet the requirements of real-time force calculation in virtual assembly and operation with complex objects. In addition, there is often an assumption that the controlled objects are completely flee and the target object is only completely fixed or flee, thus, the dynamics of the kinematic chain where the controlled objects are located are neglected during the physical simulation of the product manipulation with force feedback interaction. This paper proposes a physical simulation method of product assembly and operation manipulation based on statistically learned contact force prediction model and the coupling of force feedback and dynamics. In the proposed method, based on hidden Markov model （HMM） and local weighting learning （LWL）, contact force prediction model is constructed, which can estimate the contact force in real time during interaction. Based on computational load balance model, the computing resources are dynamically assigned and the dynamics integral step is optimized. In addition, smoothing process is performed to the force feedback on the synchronization points. Consequently, we can solve the coupling and synchronization problems of high-frequency feedback force servo. low-frequency dynamics solver servo and scene rendering servo, and realize highly stable and accurate force feedback in the physical simulation of product assembly and operation manipulation. This research proposes a physical simulation method of product assembly and operation manipulation.展开更多
采用0.6 um BICMOS工艺,设计了一种高性能,低功耗的单位增益放放大器,该单位增益放大器第一级采用共射差分对的折叠式结构,具有低的增益误差和低的输出电阻,成功应用于一款高效率,宽输入电压范围的DC/DC升压式转换器。该电路增益误差低...采用0.6 um BICMOS工艺,设计了一种高性能,低功耗的单位增益放放大器,该单位增益放大器第一级采用共射差分对的折叠式结构,具有低的增益误差和低的输出电阻,成功应用于一款高效率,宽输入电压范围的DC/DC升压式转换器。该电路增益误差低至0.01%,开环增益为80dB,尾电流为2uA。展开更多
This paper studies the achievable rate for three-node discrete memoryless relay channel. Specifically in this mode, we explore two generalized feedbacks simultaneously： the source node actively collects feedback sign...This paper studies the achievable rate for three-node discrete memoryless relay channel. Specifically in this mode, we explore two generalized feedbacks simultaneously： the source node actively collects feedback signals from the channel; and at the same time, the destination node actively transmits feedback signals to the relay node. These two feedback signals, which are called generalized feedback overheard from the channel that is likely to be noisy, induce that all the three nodes are in full duplex mode. The basic coding strategies of Cover and El Gamal are applied to the relay-source feedback transmission by the source forwarding the compressions of the channel output sequences at the relay node to the destination, and are also applied to the destination-relay feedback transmission to improve the decoding ability at the relay. Based on Cover and El Gamal coding, a new coding scheme adopting rate splitting and four-block Markov superposition encoding is proposed and the corresponding achievable rate is achieved. The proposed scheme is able to exploit two feedbacks simultaneously which can effectively eliminate underlying transmission bottlenecks for the channels. The derived achievable rate result generalizes several previously known results by including them as special cases.展开更多
文摘码率分配是无反馈分布式视频编码中的关键技术之一.本文研究编码端快速边信息生成方法,基于边信息和Wyner-Ziv帧各个位平面误码率,提出了一种编码端码率分配算法（Bitplane Error Probability based Encoder Rate Control,BEP-ERC）.还提出在编码端精确估计拉普拉斯—柯西混合分布（Laplace-Cauchy Mixture Distribution,LCMD）模型参数α和μ的思想.实验表明本文算法与现有算法相比,率失真性能提升0.1~0.4d B,且降低了编码端计算复杂度.
基金Supported by National Natural Science Foundation of China(51475418)National Basic Research 973 Program of China(2011CB706503)Science Fund for Creative Research Groups of National Natural Science Foundation of China(51221004)
文摘Most existing force feedback methods are still difficult to meet the requirements of real-time force calculation in virtual assembly and operation with complex objects. In addition, there is often an assumption that the controlled objects are completely flee and the target object is only completely fixed or flee, thus, the dynamics of the kinematic chain where the controlled objects are located are neglected during the physical simulation of the product manipulation with force feedback interaction. This paper proposes a physical simulation method of product assembly and operation manipulation based on statistically learned contact force prediction model and the coupling of force feedback and dynamics. In the proposed method, based on hidden Markov model （HMM） and local weighting learning （LWL）, contact force prediction model is constructed, which can estimate the contact force in real time during interaction. Based on computational load balance model, the computing resources are dynamically assigned and the dynamics integral step is optimized. In addition, smoothing process is performed to the force feedback on the synchronization points. Consequently, we can solve the coupling and synchronization problems of high-frequency feedback force servo. low-frequency dynamics solver servo and scene rendering servo, and realize highly stable and accurate force feedback in the physical simulation of product assembly and operation manipulation. This research proposes a physical simulation method of product assembly and operation manipulation.
基金supported by the National Natural Science Foundation of China (60972045)the Cultivation and Innovation Project for Jiangsu Provincial Postgraduate (CX10B_192Z)
文摘This paper studies the achievable rate for three-node discrete memoryless relay channel. Specifically in this mode, we explore two generalized feedbacks simultaneously： the source node actively collects feedback signals from the channel; and at the same time, the destination node actively transmits feedback signals to the relay node. These two feedback signals, which are called generalized feedback overheard from the channel that is likely to be noisy, induce that all the three nodes are in full duplex mode. The basic coding strategies of Cover and El Gamal are applied to the relay-source feedback transmission by the source forwarding the compressions of the channel output sequences at the relay node to the destination, and are also applied to the destination-relay feedback transmission to improve the decoding ability at the relay. Based on Cover and El Gamal coding, a new coding scheme adopting rate splitting and four-block Markov superposition encoding is proposed and the corresponding achievable rate is achieved. The proposed scheme is able to exploit two feedbacks simultaneously which can effectively eliminate underlying transmission bottlenecks for the channels. The derived achievable rate result generalizes several previously known results by including them as special cases.
