ID 原文 译文
21105 仿444/422编码方案通过将输入图像中的色度分量下采样后，使用原有的420方式进行编码，以实现444/422编码。 The most direct solution is pseudo444/422 coding. In thismethod, chroma component in the input image is down sampled by averaging adjacent samples. The corecoding modules are still 420 coding.
21106 进一步，该文将帧内预测及环路滤波等编码模块无缝扩展到相应的444/422格式，实现444/422帧内预测编码。 Further, this paper seamlessly extends intra prediction and loop filter tothe 444/422 chroma format to implement 444/422 intra prediction coding.
21107 实验结果表明，对444格式和422格式序列，在高码率的情况下444/422帧内预测编码与仿444/422编码相比，U/V平均BD-rate的减少分别为31.44%/31.72%和18.85%/19.3%，而Y分量平均BD-rate的增加仅为0.5%。 The experimental results show that compared with pseudo 444/422 coding, in the case of high bit rate, the average U/V BD-rate saving is31.44%/31.72% and 18.85%/19.30% for 444 and 422 test sequences respectively, with negligible increase of YBD-rate (0.5% on average).
21108 其中422色度帧内预测过程的算法优化减少Y/U/V BD-rate最高可达5.66%。 The modification of the 422 chroma intra prediction algorithm achieves up to5.66% Y/U/V BD-rate reduction.
21109 与HEVC RExt编码相比，在低码率时，444/422帧内预测编码取得了更好或相近的编码性能。 444/422 intra prediction coding provides similar or better coding performancethan HEVC RExt coding at low bitrates.
21110 基于干扰消除思想该文提出一种适用于大规模MIMO系统上行链路的低复杂度迭代并行干扰消除算法， Based on interference cancellation method, a low complexity Iterative Parallel Interference Cancellation (IPIC) algorithm is proposed for the uplink of massive MIMO systems.
21111 在算法实现中避免了线性检测算法所需的高复杂度矩阵求逆运算，将复杂度保持在。 The proposed algorithm avoids the high complexity matrix inversion required by the linear detection algorithm, and hence the complexity is maintained only at .
21112 在此基础上，引入噪声预测机制，提出一种基于噪声预测的迭代并行干扰消除算法，进一步提高了硬判决检测性能。 Meanwhile, the noise prediction mechanism is introduced and thenoise-prediction aided iterative parallel interference cancellation algorithm is proposed to improve further thedetection performance.
21113 考虑天线间残留干扰，将干扰消除思想运用到软判决中，最后提出一种基于迭代并行干扰消除的低复杂度软输出信号检测算法。 Considering the residual inter-antenna interference, a low-complexity soft output signaldetection algorithm is proposed as well.
21114 仿真结果表明：提出的信号检测方法的复杂度优于MMSE检测算法，经过几次简单的迭代，算法即快速收敛并获得接近甚至优于MMSE检测算法的误码率性能。 The simulation results show that the complexity of all the proposedsignal detection methods are better than that of the MMSE detection algorithm. With only a small number ofiterations, the proposed algorithm achieves its performance quite close to or even surpassing that of the MMSEalgorithm.