Quantization decoding of QC-LDPC codes is studied. We simulated the decoding performance which is affected by quantitative precision and the scope of quantization.
研究了QC-LDPC码的量化译码，针对高速率的光纤通信系统，仿真验证了量化范围和量化精度的对译码性能的影响。
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。
Error control can be done in any step such as prediction, transform, quantization, VLC, bitstream syntax structure, channel coding, decoding and etc.
差错控制可以在信源编码和信道编码的各个环节进行，如：预测、变换、量化、可变长编码、比特流结构、复用以及解码等。
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