SOFT AND HARD DECISION MESSAGE-PASSING DECODING
    2.
    发明申请
    SOFT AND HARD DECISION MESSAGE-PASSING DECODING 有权
    软和硬决策消息传递解码

    公开(公告)号:US20150263760A1

    公开(公告)日:2015-09-17

    申请号:US14215659

    申请日:2014-03-17

    Abstract: A decoder unit is configured to perform a decoding on encoded data. The decoder unit includes a data bus comprising a number N of data lines, a local memory configured to store messages for a message-passing decoding and communicate the messages across the data bus, a plurality of first decoder processing units, wherein each first decoder processing unit is configured to perform the message-passing decoding by communicating with the local memory using a number A of the data channels, and a plurality of second decoder processing units, where each second decoder processing unit is configured to perform the message-passing decoding by communicating with the local memory using a number B of the data lines. N is at least two, A and B are less than or equal to N, and A is different from B.

    Abstract translation: 解码器单元被配置为对编码数据执行解码。 解码器单元包括数据总线,数据总线包括N个数据线,本地存储器被配置为存储用于消息传递解码的消息,并且跨数据总线传送消息;多个第一解码器处理单元,其中每个第一解码器处理 单元被配置为通过使用数字信道的数量A与本地存储器通信来执行消息传递解码,以及多个第二解码器处理单元,其中每个第二解码器处理单元被配置为通过以下方式执行消息传递解码: 使用B数据线与本地存储器进行通信。 N至少为2,A和B小于或等于N,A与B不同。

    MESSAGE-PASSING BASED DECODING USING SYNDROME INFORMATION, AND RELATED METHODS

    公开(公告)号:US20170134048A1

    公开(公告)日:2017-05-11

    申请号:US14937379

    申请日:2015-11-10

    Abstract: A decoding method for an iterative message-passing based decoder, such as a low-density parity-check (LDPC) decoder, includes calculating syndrome information for a received word, and initializing variable nodes based on the received word. Each received bit of the received word may be represented by a Likelihood-Ratio (LR) or Log-Likelihood-Ratio (LLR) at a respective variable node. Further, the method includes iteratively updating check nodes, and updating the LRs of variable nodes using the syndrome information, determining an error vector from the LRs of the variable nodes, and determining a transmitted word, corresponding to the received word, by subtracting the error vector from the received word. The syndrome information is calculated based upon a parity check matrix.

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