为降低低密度奇偶检验码译码的硬件实现复杂度，提出了一种可变步长均匀量化“和积”译码算法。
A variable step uniform quantization(VSUQ) sum-product algorithm(SPA) was developed to reduce the hardware complexity of low-density parity-check(LDPC) code decoding.
为了降低低密度奇偶检验码的误码平底，提出一种基于陷阱集状态检测的两级置信度传播译码算法。
A two stage belief-propagation(TSBP)decoding algorithm was developed based on trapping set state(TSS)detection to reduce the error floor of low-density parity-check(LDPC)codes.
为了降低低密度奇偶检验码的误码平底，提出一种基于陷阱集状态检测的两级置信度传播译码算法。
A two stage belief-propagation(TSBP)decoding algorithm was developed based on trapping set state(TSS)detection to reduce the error floor of low-density parity-check(LDPC)codes.
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