Advanced Audio Coding-Low Complexity 低复杂性高级音频编码
low-complexity video coding 低复杂度视频编码
AAC-LC Advanced Audio Coding-Low Complexity 高级音频编码
Low-Complexity Advanced Audio Coding 低复杂度高级音频编码
Linear R-Q model depresses coding complexity commendably, and has a good coding efficiency.
而线性码率-量化参数模型能够很好的降低编码复杂度，并能达到更好的编码效果。
参考来源 - H.264视频编码标准码率控制的研究Multi-mode prediction can improve compression efficiency and rate-distortion performance of H.264, but it also increases the coding complexity.
多模式预测可以提高H.264标准的编码效率和率失真性能，但会增加编码复杂度。
参考来源 - 基于运动信息分布的帧间预测模式选择算法·2,447,543篇论文数据，部分数据来源于NoteExpress
This measure has the advantage of low bandwidth, fast transmission, depress coding complexity.
这种方法有着占用带宽小，传输快，降低了编码复杂度的优点。
This reduces coding complexity and provides programmers with a more integrated view of distributed data.
这样就降低了编码的复杂性，为程序员提供了更加集成化的分布式数据视图。
To modify this drawback, a new coding complexity metric called average pixel information bit (APIB) is proposed.
为改正此缺点，本文提出一种新的编码复杂的尺度：平均像素信息比特(APIB)。
应用推荐