会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 4. 发明授权
    • System for soft symbol decoding MIMO log-map detection
    • 用于软符号解码MIMO系统的对数映射检测
    • US08483328B2
    • 2013-07-09
    • US12629282
    • 2009-12-02
    • Didier Johannes Richard van NeeVincent Knowles Jones, IVGeert Arnout AwaterJames Gardner
    • Didier Johannes Richard van NeeVincent Knowles Jones, IVGeert Arnout AwaterJames Gardner
    • H04L27/06
    • H04L27/2032H04L25/03006H04L25/067H04L2025/03414H04L2025/03426
    • A soft symbol decoder for use in a multiple input multiple output (MIMO) and OFDM (orthogonal frequency division multiplexing) system. The decoder generates soft symbol values for a digital signal that represents a number of source bits. The source bits are transmitted as symbols in corresponding to points in a signaling constellation. Soft metrics are determined by searching for all possible multi-dimensional symbols that could have been transmitted. The method includes transmitting a sample of the multi-dimensional symbol using K transmit antennas. The multi-dimensional symbol is represent-able as a complex, K-dimensional vector x. Each vector component of vector x represents a signal transmitted with one of the K transmit antennas. After transmission through a communication channel, a sample corresponding to the transmitted sample is received. The received sample is represented by a complex, N-dimensional vector y, where N is the number of receive antennas in the MIMO system. After the sample is received, a soft metric L(bi) is determined for each bit bi encoded by x according to the equation: L ⁡ ( b i ) = σ - 2 · ( min x j ❘ b i = - 1 ⁢  y - Hx j  2 - min x j ❘ b i = + 1 ⁢  y - Hx j  2 ) , , and xj represents all possible values for x. In addition, a reduced complexity method is used for providing soft metric values in the MIMO system. This exemplary aspect reduces the complexity of the above computations from 2BK to 2B(K−1), where B is the number of bits transmitted per symbol per antenna.
    • 一种用于多输入多输出(MIMO)和OFDM(正交频分复用)系统的软符号解码器。 解码器产生表示多个源位的数字信号的软符号值。 源比特在对应于信令星座中的点被作为符号发送。 通过搜索可能已经发送的所有可能的多维符号来确定软度量。 该方法包括使用K个发送天线发送多维符号的采样。 多维符号可以表示为复杂的K维向量x。 矢量x的每个矢量分量表示与K个发射天线中的一个发射的信号。 在通过通信信道传输之后,接收对应于发送的样本的样本。 接收的样本由复数N维向量y表示,其中N是MIMO系统中的接收天线的数量。 在接收到样本之后,根据以下等式为由x编码的每个比特bi确定软度量L(bi):L⁡(bi)= sigma-2·(min xj | bi =-Iy-Hx j2 - min xj | bi = +1y - Hx j2),xj表示x的所有可能值。 另外,降低复杂度的方法用于在MIMO系统中提供软度量值。 该示例性方面降低了从2BK到2B(K-1)的上述计算的复杂度,其中B是每个天线每符号发送的比特数。
    • 5. 发明授权
    • Method and system for network latency virtualization in a cloud transport environment
    • 云运输环境中网络延迟虚拟化的方法和系统
    • US08397138B2
    • 2013-03-12
    • US12633375
    • 2009-12-08
    • James Gardner
    • James Gardner
    • H03M13/00
    • G06F15/167G06F11/3419G06F11/3495G06F2201/81G06F2201/865G06F2201/875H04L1/1874H04L1/188H04L41/0816H04L43/0852H04L43/16H04L67/2842H04L2001/0097
    • A cache device is disposed on a connection path between a user computer executing a software application and a network. The application exchanges data with a further computer via the network. The cache device includes a cache memory and a processor. The cache device is configured to measure, by the processor, a first latency between the user computer and the further computer. The cache device is further configured to determine an acceptable latency range based on the latency and a requirement of the software application. The cache device is further configured to measure a second latency between the user computer and the further computer. The cache device is further configured to store, in the cache memory, a set of data transmitted from the user computer to the further computer, if the second latency is not within the acceptable latency range.
    • 高速缓存设备被布置在执行软件应用的用户计算机和网络之间的连接路径上。 应用程序通过网络与另一台计算机交换数据。 高速缓存设备包括高速缓冲存储器和处理器。 缓存设备被配置为由处理器测量用户计算机和另外的计算机之间的第一等待时间。 高速缓存设备还被配置为基于等待时间和软件应用的需求来确定可接受的等待时间范围。 高速缓存设备还被配置为测量用户计算机和另外的计算机之间的第二等待时间。 高速缓存设备还被配置为如果第二等待时间不在可接受的等待时间范围内,则在高速缓冲存储器中存储从用户计算机发送到另外的计算机的一组数据。
    • 6. 发明申请
    • Redundant Data Dispersal In Transmission Of Video Data Based On Frame Type
    • 基于帧类型的视频数据传输中的冗余数据分散
    • US20130028320A1
    • 2013-01-31
    • US13563937
    • 2012-08-01
    • James Gardner
    • James Gardner
    • H04N7/32
    • H04N19/0086H04N19/51H04N19/577H04N19/66H04N21/2381H04N21/2383H04N21/631
    • The transmitting end of a content distribution system selectively employs a redundancy mechanism to encode video data. In the event that a particular frame contains information upon which the decoding of multiple frames may depend, the transmitting end can apply a redundancy mechanism to redundantly distribute the data of the frame throughout a set of data segments, each of which is separately transmitted via the network to the receiving end. Otherwise, in the event that a particular frame to be transmitted does not contain substantial information upon which the decoding of multiple frames may depend, the loss of some or all of the data of the frame may not appreciably affect the presentation of the video content at the receiving end and thus the transmitting end can forgo application of the redundancy mechanism to such frames so as to avoid unnecessary processing and reduce the overall network bandwidth used.
    • 内容分发系统的发送端选择性地采用冗余机制对视频数据进行编码。 在特定帧包含多个帧的解码可能依赖的信息的情况下,发送端可以应用冗余机制来冗余地分布整个数据段的数据段,每个数据段经由 网络接收端。 否则,在要发送的特定帧不包含多个帧的解码可能依赖的实质信息的情况下,帧的一些或所有数据的丢失可能不会明显地影响视频内容的呈现 接收端,因此发送端可以放弃对这些帧应用冗余机制,以避免不必要的处理,并减少所使用的整体网络带宽。
    • 8. 发明授权
    • Search efficient MIMO trellis decoder
    • 搜索高效的MIMO网格解码器
    • US07668267B2
    • 2010-02-23
    • US11942283
    • 2007-11-19
    • James GardnerVincent Knowles Jones, IVDidier Johannes Richard Van NeeGeert Arnout Awater
    • James GardnerVincent Knowles Jones, IVDidier Johannes Richard Van NeeGeert Arnout Awater
    • H04B7/10
    • H03M13/256H03M13/3905
    • A decoder generates distance and label metrics associated with each label of a coset transmitted in a multi-input multi-output communication system having Mt transmit antennas and Mr receive antennas by performing 2(“u+n”)(Mt−1) searches, where n is the number of encoded bits used to identify one of 2u cosets at the transmitting end and u is the number of unencoded bits used to select one of 2u labels at the transmitting end. The decoder forms an intermediate vector quantity associated with one of the transmit antennas to compute the metrics associated with each of the remaining transmit antennas. The decoder then forms a second intermediate vector quantity to compute the metrics associated with the transmit antenna that was used to form the first intermediate variable. The metrics so computed are used by a Viterbi decoder to identify the coset and the most likely transmitted label in that coset.
    • 解码器通过执行2(“u + n”)(Mt-1)搜索,生成与具有Mt个发送天线和Mr个接收天线的多输入多输出通信系统中发送的陪集的每个标签相关联的距离和标签量度, 其中n是用于识别发送端的2u陪集中的一个的编码比特数,u是用于在发送端选择2u个标签之一的未编码比特数。 解码器形成与发射天线之一相关联的中间矢量,以计算与每个剩余发射天线相关联的度量。 然后,解码器形成第二中间矢量,以计算与用于形成第一中间变量的发射天线相关联的度量。 如此计算的度量被维特比解码器用于识别该陪集中的陪集和最可能发送的标签。