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    • 22. 发明授权
    • Decoding Reed-Solomon codes and related codes represented by graphs
    • 解码Reed-Solomon码和由图表表示的相关码
    • US07191376B2
    • 2007-03-13
    • US10728338
    • 2003-12-04
    • Jonathan S. Yedidia
    • Jonathan S. Yedidia
    • H04L1/18
    • H03M13/114H03M13/1102H03M13/1191H03M13/136H03M13/1505H03M13/1515H03M13/3707H03M13/39H03M13/45H03M13/6362H03M13/658
    • A method decodes a soft-input cost function for an error-correcting code. First, the code is selected and its FSTFG representation is constructed. The representation is simplified, and an encoding method consistent with the representation is selected. A set of message-update and belief-update rules are selected. Messages are initialized according to a soft-input cost function. An iterative decoding cycle is then begun. The first step updates the messages according to the pre-selected message-update rules. The second step determines a trial code word from the messages, the pre-selected message-update rules, and the encoding method. The third step replaces a tentative output code word of the decoding method with the trial code word if the trial code word has lower cost. The decoding cycle terminates if a termination condition is true, and outputs the tentative code word.
    • 一种解码纠错码的软输入成本函数的方法。 首先,选择代码并构建其FSTFG表示。 该表示被简化,并且选择与该表示一致的编码方法。 选择一组消息更新和置信更新规则。 消息根据软输入成本函数进行初始化。 然后开始迭代解码周期。 第一步根据预先选择的消息更新规则更新消息。 第二步确定消息中的试用码字,预先选择的消息更新规则和编码方法。 如果试用代码字的成本较低,则第三步用试用代码字代替解码方法的暂定输出代码字。 如果终止条件为真,则解码周期终止,并输出暂定码字。
    • 23. 发明授权
    • Evaluating and optimizing error-correcting codes using a renormalization group transformation
    • 使用重归一化组转换来评估和优化纠错码
    • US06857097B2
    • 2005-02-15
    • US09858358
    • 2001-05-16
    • Jonathan S. YedidiaJean-Philippe M. Bouchaud
    • Jonathan S. YedidiaJean-Philippe M. Bouchaud
    • G06F11/10H03M13/01H03M13/19H03M13/37H03M13/47H04L1/24H03M13/00
    • H03M13/47H03M13/01H03M13/37
    • A method evaluates an error-correcting code for a data block of a finite size. An error-correcting code is defined by a parity check matrix, wherein columns represent variable bits and rows represent parity bits. The parity check matrix is represented as a bipartite graph. A single node in the bipartite graph is iteratively renormalized until the number of nodes in the bipartite graph is less than a predetermine threshold. During the iterative renormalization, a particular variable node is selected as a target node, and a distance between the target node and every other node in the bipartite graph is measured. Then, if there is at least one leaf variable node, renormalize the leaf variable node farthest from the target node, otherwise, renormalize a leaf check node farthest from the target node, and otherwise renormalize a variable node farthest from the target node and having fewest directly connected check nodes. By evaluating many error-correcting codes according to the method, an optimal code according to selected criteria can be obtained.
    • 一种方法评估有限大小的数据块的纠错码。 纠错码由奇偶校验矩阵定义,其中列表示可变位,行表示奇偶校验位。 奇偶校验矩阵表示为二分图。 二分图中的单个节点被迭代重新归一化,直到两分图中的节点数小于预定阈值。 在迭代重归一化期间,选择特定变量节点作为目标节点,并测量目标节点与二分图中每个其他节点之间的距离。 然后,如果存在至少一个叶变节点,则对目标节点最远的叶变量节点进行重新规范化,否则,将与目标节点最远的叶检查节点重新归一化,否则将距离目标节点最远的变量节点重新规范化,最小 直接连接检查节点。 通过根据该方法评估许多纠错码,可以获得根据所选标准的最佳码。
    • 24. 发明授权
    • Decoding error-correcting codes based on finite geometries
    • 基于有限几何解码纠错码
    • US07103825B2
    • 2006-09-05
    • US10643618
    • 2003-08-19
    • Jonathan S. YedidiaMarc P. C. FossorierRavi Palanki
    • Jonathan S. YedidiaMarc P. C. FossorierRavi Palanki
    • H03M13/43H03M13/45
    • H03M13/136H03M13/134H03M13/3738H03M13/3746
    • A method decodes a received word for a binary linear block code based on a finite geometry. First, a parity check matrix representation of the code is defined. The received word is stored in a channel register. An active register represents a current state of the decoder. Each element in the active register can take three states, representing the two possible states of the corresponding bit in the word, and a third state representing uncertainty. Votes from parity checks to elements of the active register are determined from parity checks in the matrix, and the current state of the active register. A recommendation and strength of recommendation for each element in the active register is determined from the votes. The elements in the active register are then updated by comparing the recommendation and strength of recommendation with two thresholds, and the state of the corresponding bit in the received word. When termination conditions are satisfied, the decoder outputs the state of the active register. If the decoder outputs a state of the active register that does not correspond to a codeword, a new representation for the code using a parity check matrix with substantially more rows is chosen, and the decoding cycle is restarted.
    • 一种基于有限几何的二进制线性块码的接收字来解码。 首先,定义代码的奇偶校验矩阵表示。 接收到的字存储在通道寄存器中。 活动寄存器表示解码器的当前状态。 有效寄存器中的每个元素可以采用三种状态,表示字中相应位的两种可能状态,表示不确定性的第三种状态。 从奇偶校验到活动寄存器的元素的投票由矩阵中的奇偶校验和活动寄存器的当前状态确定。 活跃登记册中每一项要素的建议和实力取决于投票。 然后通过将建议和强度与两个阈值进行比较,以及接收到的字中的相应位的状态来更新活动寄存器中的元素。 当满足终止条件时,解码器输出有效寄存器的状态。 如果解码器输出与代码字不对应的活动寄存器的状态,则使用具有基本上更多行的奇偶校验矩阵的代码的新表示被选择,并且重新开始解码周期。
    • 26. 发明授权
    • Super-node normalized belief propagation for probabilistic systems
    • 概率系统的超节点归一化信念传播
    • US06745157B1
    • 2004-06-01
    • US09586281
    • 2000-06-02
    • Yair WeissWilliam T. FreemanJonathan S. Yedidia
    • Yair WeissWilliam T. FreemanJonathan S. Yedidia
    • G06F1710
    • G06F17/10
    • A method determines the probabilities of states of a system represented by a model including of nodes connected by links. Each node represents possible states of a corresponding part of the system, and each link represents statistical dependencies between possible states of related nodes. The nodes are grouped into arbitrary sized clusters such that every node is included in at least one cluster. A minimal number of marginalization constraints to be satisfied between the clusters are determined. A super-node network is constructed so that each cluster of nodes is represented by exactly one super-node. Super-nodes that share one of the marginalization constraints are connected by super-links. The super-node network is searched to locate closed loops of super-nodes containing at least one common node. A normalization operator for each closed loop is determined, and messages between the super-nodes are defined. Initial values are assigned to the messages, and the messages between super-nodes are updated using standard belief propagation. The messages are replaced by associated normalized values using the corresponding normalization operator, and approximate probabilities of the states of the system are determined from the messages when a termination condition is reached.
    • 一种方法确定由包括通过链接连接的节点的模型所表示的系统的状态的概率。 每个节点表示系统的对应部分的可能状态,并且每个链路表示相关节点的可能状态之间的统计依赖性。 节点被分组成任意大小的集群,使得每个节点被包括在至少一个集群中。 确定要在群集之间满足的最小数量的边缘化约束。 构建超节点网络,使得每个节点簇由正好一个超节点表示。 分享边缘化约束的超级节点通过超级链接连接。 搜索超节点网络以定位包含至少一个公共节点的超节点的闭环。 确定每个闭环的归一化运算符,并定义超节点之间的消息。 初始值分配给消息,超级节点之间的消息使用标准置信传播进行更新。 使用相应的归一化算子将消息替换为关联的归一化值,并且当达到终止条件时,从消息确定系统的状态的近似概率。
    • 30. 发明授权
    • Quantizing signals using sparse generator factor graph codes
    • 使用稀疏发生器因子图代码量化信号
    • US06771197B1
    • 2004-08-03
    • US10672919
    • 2003-09-26
    • Jonathan S. YedidiaEmin Martinian
    • Jonathan S. YedidiaEmin Martinian
    • H03M700
    • H03M13/1111H03M13/1108H03M13/1191H03M13/63H03M13/6577
    • A method quantizes an input signal of N samples into a string of k symbols drawn from a q-ary alphabet. A complementary method reproduces a minimally distorted version of the input signal from the quantized string, given some distortion measure. First, an [N,k]q linear error-correcting code that has a sparse generator factor graph representation is selected. A fixed mapping from q-ary symbols to samples is selected. A soft-input decoder and an encoder for the SGFG codes is selected. A cost function is determined from the input signal and a distortion measure, using the fixed mapping. The decoder determines an information block corresponding to a code word of the SGFG code with a low cost for the input signal. The input signal can be reproduced using the encoder for the SGFG code, in combination with the fixed mapping.
    • 一种方法将N个样本的输入信号量化为从q字母字母绘制的k个符号的串。 给定一些失真测量,补充方法从量化串中再现输入信号的最小失真版本。 首先,选择具有稀疏发生器因子图表示的[N,k] q线性纠错码。 选择从q元符号到样本的固定映射。 选择软输入解码器和用于SGFG码的编码器。 使用固定映射从输入信号和失真度量确定成本函数。 解码器以对于输入信号的低成本来确定与SGFG码的码字相对应的信息块。 输入信号可以使用SGFG码的编码器与固定映射相结合。