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    • 3. 发明申请
    • System and Method for Supporting Flexible Overlays and Mobility in Ip Communication and Computer Networks
    • 支持Ip通信和计算机网络中灵活叠加和移动性的系统和方法
    • US20080253373A1
    • 2008-10-16
    • US12066533
    • 2006-09-13
    • Jordi Ros-GiraltWei K. Tsai
    • Jordi Ros-GiraltWei K. Tsai
    • H04L12/56
    • H04L69/16H04L45/00H04L69/161
    • There is provided a system and method for providing a simple yet flexible overlay network on top of any IP networks to enable diverse network applications whereby much of the rigidities of IP protocol suite are eliminated without any modifications to the applications. In particular, the system includes: a plurality of c-nodes; one or more source terminal nodes connected to an IP network; and one or more destination terminal nodes connected to the IP network. Here, the source terminal nodes send IP packets over the plurality of c-nodes to the destination terminal nodes to accomplish arbitrary communications between arbitrary groups of the source terminal nodes to arbitrary groups of the destination terminal nodes. More specifically, a method employing the system utilizes the concept of connection ID and headers that can be inserted anywhere in the IP packet.
    • 提供了一种用于在任何IP网络之上提供简单而灵活的覆盖网络的系统和方法,以实现不同的网络应用,从而消除IP协议组的大部分刚性,而无需对应用进行任何修改。 特别地,该系统包括:多个c节点; 连接到IP网络的一个或多个源终端节点; 以及连接到IP网络的一个或多个目的地终端节点。 这里,源终端节点通过多个c节点发送IP分组到目的终端节点,以实现源终端节点的任意组与目的终端节点的任意组之间的任意通信。 更具体地说,采用该系统的方法利用可插入IP分组中的任何地方的连接ID和头部的概念。
    • 4. 发明申请
    • System and method for delivering contents by exploiting unused capacities in a communication network
    • 通过利用通信网络中未使用的容量来传送内容的系统和方法
    • US20080034105A1
    • 2008-02-07
    • US11497298
    • 2006-08-02
    • Wei K. TsaiJordi Ros-Giralt
    • Wei K. TsaiJordi Ros-Giralt
    • H04L12/26G06F15/16G08C15/00G01R31/08H04L1/00G06F11/00
    • H04L45/00H04L45/12H04L45/125H04L45/24H04L45/302
    • There is provided a method of delivering a plurality of source streams from a plurality of servers to a plurality of clients through a plurality of routers over a communication network using a pay-per-period pricing scheme. Said method includes: splitting the source stream into a plurality of sub-streams to the routers; estimating available capacities of the plurality of the routers; and delivering the sub-streams to the routers at transmission rates proportional to the available capacities of the routers. The available capacity is estimated based on input and output traffic correlations in the server. Further, the client, who is not an owner of the available capacity, may be allowed to use the available capacity at a lower priority than that of the owner. The delivery of the source stream may be carried out over a plurality of paths over the communication network, wherein time-space trajectories of the paths do not cross each other. The method of the present invention provides a large-scale optimal exploitation of available capacities such as network bandwidths and computing resources for content delivery, while ensuring high QoS of content delivery.
    • 提供了一种通过使用每个期付费方案在通信网络上通过多个路由器从多个服务器向多个客户端递送多个源流的方法。 所述方法包括:将源流分解成多个子流到路由器; 估计所述多个路由器的可用容量; 并以与路由器的可用容量成比例的传输速率将子流传送到路由器。 可用容量根据服务器中的输入和输出流量相关性进行估计。 此外,不是可用容量的所有者的客户可能被允许以比所有者的优先级低的优先级使用可用容量。 源流的传送可以在通信网络上的多个路径上执行,其中路径的时间 - 空间轨迹不相互交叉。 本发明的方法提供了对可用容量的大规模优化利用,例如用于内容传送的网络带宽和计算资源,同时确保内容传送的高QoS。
    • 5. 发明授权
    • Orthogonal LMS algorithms for fast line echo canceler training
    • 用于快速回波消除器训练的正交LMS算法
    • US5909426A
    • 1999-06-01
    • US828482
    • 1997-03-31
    • Thomas C. LiauWei K. Tsai
    • Thomas C. LiauWei K. Tsai
    • H04B3/23H04M9/08
    • H04B3/238
    • An echo canceler for calculating an echo impulse response during a training sequence, wherein a sequence of data samples is selected such that a full rank data correlation matrix comprised of such data samples is diagonal at the Nth iteration. The echo canceler estimates the echo impulse response based on such data samples and an echo generated during the training sequence using a normalized least means square algorithm, wherein the length of the data sequence to sound the echo channel is N. This normalized LMS algorithm, wherein the data sequence is specifically selected, converges toward an echo impulse response much faster than standard LMS algorithms, while having a computational complexity comparable to that of the standard LMS algorithm.
    • 一种用于在训练序列期间计算回波脉冲响应的回波消除器,其中选择数据样本序列,使得由这样的数据样本组成的全等级数据相关矩阵在第N次迭代时是对角线的。 回波消除器基于这样的数据样本估计回波脉冲响应,以及使用归一化最小均方算法在训练序列期间产生的回波,其中,声音回波信道的数据序列的长度为N.该归一化的LMS算法,其中 特别选择数据序列,比标准LMS算法更快地收敛于回波脉冲响应,同时具有与标准LMS算法相当的计算复杂度。
    • 7. 发明授权
    • Non-linear equalization for the upstream data connection of 56K PCM modems
    • 56K PCM调制解调器上行数据连接的非线性均衡
    • US06650698B1
    • 2003-11-18
    • US09408367
    • 1999-09-29
    • Thomas C. LiauKeith T. ChuWei K. Tsai
    • Thomas C. LiauKeith T. ChuWei K. Tsai
    • H03K5159
    • H04L25/4927H04L2025/03363
    • An apparatus and method for minimizing nonlinear distortions in computer system communications where the upstream signal from a client modem to a server modem is periodically sampled, the samples being utilized by a non-linear decision feedback equalizer to periodically produce sets of equalizer coefficients. The equalizer coefficients are sent via an independent communication channel downstream to the client modem to continuously update distortion-minimizing adjustments to the client modem's upstream output. The samples are taken periodically in order to update the non-linear decision feedback equalizer so that it can provide appropriate equalizer coefficients for the changing characteristics of the upstream signal. The method includes identifying, by a first communication system, nonlinear equalization parameters to be used by a second communication system to minimize nonlinear distortions on a primary communication channel. The method also includes transmitting, by the first communication system, the nonlinear equalization parameters to the second communication system by a secondary communication channel. In addition, the method includes receiving, by the second communication system, the nonlinear equalization parameters from the first communication system. Finally, the method includes utilizing, by the second communication system, the nonlinear equalization parameters to minimize nonlinear distortion on the primary communication channel.
    • 一种用于使来自客户端调制解调器到服务器调制解调器的上行信号周期性地采样的计算机系统通信中的非线性失真最小化的装置和方法,由非线性判决反馈均衡器利用的采样周期性地产生均衡器系数集合。 均衡器系数通过下游的独立通信信道发送到客户端调制解调器,以连续地更新对客户端调制解调器的上行输出的失真最小化调整。 定期取样,以便更新非线性判决反馈均衡器,使得它可以为上游信号的变化特性提供适当的均衡器系数。 该方法包括由第一通信系统识别由第二通信系统使用的非线性均衡参数,以使主通信信道上的非线性失真最小化。 该方法还包括由第一通信系统通过辅助通信信道将非线性均衡参数发送到第二通信系统。 此外,该方法包括由第二通信系统接收来自第一通信系统的非线性均衡参数。 最后,该方法包括由第二通信系统利用非线性均衡参数来最小化主通信信道上的非线性失真。
    • 8. 发明授权
    • Neural node network and model, and method of teaching same
    • 神经节点网络和模型,以及教学方法
    • US5479571A
    • 1995-12-26
    • US046936
    • 1993-04-13
    • Alexander G. ParlosAmir F. AtiyaBenito FernandezWei K. TsaiKil T. Chong
    • Alexander G. ParlosAmir F. AtiyaBenito FernandezWei K. TsaiKil T. Chong
    • G06N3/04G06F15/18
    • G06N3/049
    • The present invention is a fully connected feed forward network that includes at least one hidden layer 16. The hidden layer 16 includes nodes 20 in which the output of the node is fed back to that node as an input with a unit delay produced by a delay device 24 occurring in the feedback path 22 (local feedback). Each node within each layer also receives a delayed output (crosstalk) produced by a delay unit 36 from all the other nodes within the same layer 16. The node performs a transfer function operation based on the inputs from the previous layer and the delayed outputs. The network can be implemented as analog or digital or within a general purpose processor. Two teaching methods can be used: (1) back propagation of weight calculation that includes the local feedback and the crosstalk or (2) more preferably a feed forward gradient decent which immediately follows the output computations and which also includes the local feedback and the crosstalk. Subsequent to the gradient propagation, the weights can be normalized, thereby preventing convergence to a local optimum. Education of the network can be incremental both on and off-line. An educated network is suitable for modeling and controlling dynamic nonlinear systems and time series systems and predicting the outputs as well as hidden states and parameters. The educated network can also be further educated during on-line processing.
    • 本发明是一个完全连接的前馈网络,其包括至少一个隐层16.隐含层16包括节点20,其中节点的输出被反馈到该节点作为具有由延迟产生的单位延迟的输入 发生在反馈路径22中的装置24(局部反馈)。 每层内的每个节点还接收由延迟单元36从同一层16内的所有其他节点产生的延迟输出(串扰)。节点基于来自先前层的输入和延迟的输出执行传递函数操作。 网络可以实现为模拟或数字或通用处理器。 可以使用两种教学方法:(1)重量计算的反向传播,其包括局部反馈和串扰,或(2)更优选地是紧随输出计算之后的前馈梯度,并且还包括局部反馈和串扰 。 在梯度传播之后,权重可以归一化,从而防止收敛到局部最优。 网络教育可以是离线的增量。 受过教育的网络适用于动态非线性系统和时间序列系统的建模和控制,并预测输出以及隐藏状态和参数。 受过教育的网络也可以在线处理过程中受到进一步教育。