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    • 8. 发明授权
    • Method and system for decoding
    • 解码方法和系统
    • US08898537B2
    • 2014-11-25
    • US13050065
    • 2011-03-17
    • Warren GrossFrancois Leduc-PrimeauSaied HematiShie Mannor
    • Warren GrossFrancois Leduc-PrimeauSaied HematiShie Mannor
    • H03M13/00H03M13/11H03M13/25
    • H03M13/255H03M13/1111H03M13/1125H03M13/1134H03M13/1137H03M13/1165H03M13/6544H03M13/658H03M13/6597
    • Low-Density Parity-Check (LDPC) codes offer error correction at rates approaching the link channel capacity and reliable and efficient information transfer over bandwidth or return-channel constrained links with data-corrupting noise present. LDPC codes also offer error correction performance approaching channel capacity exponentially fast in terms of the code length, linear processing complexity, and parallelism that scales with the code length. They also offer challenges relating to the decoding complexity of the binary error-correction codes themselves and error floors limiting achievable bit-error rates. A new Relaxed Half-Stochastic (RHS) decoding algorithm is presented that reduces decoding complexity for high decoding throughput applications. The RHS algorithm uses an approach based on stochastic decoding algorithms but differs significantly from the conventional approaches of LDPC decoder implementation. The RHS algorithm also leads to a randomized decoding technique called redecoding that addresses the error floor limitation.
    • 低密度奇偶校验(LDPC)码在接近链路信道容量的速率下提供误码校正,并且在存在数据破坏噪声的带宽或返回信道受限链路上进行可靠和有效的信息传输。 LDPC码还提供了在代码长度,线性处理复杂度和与代码长度相关联的并行性方面,指数速度接近信道容量的纠错性能。 它们还提供与二进制纠错码本身的解码复杂性相关的挑战,并且限制可实现的误码率的错误层。 提出了一种新的轻便半随机(RHS)解码算法,降低了高解码吞吐量应用的解码复杂度。 RHS算法使用基于随机解码算法的方法,但与LDPC解码器实现的传统方法有很大的不同。 RHS算法还导致称为重新编码的随机解码技术,其解决错误楼层限制。