相对于其他熵编码而言，基于上下文的自适应二进制算术熵编码（CABAC）具有更大的数据压缩率，但由于其运算复杂，访问存储设备频繁，导致编／解码率较低。针对影响CABAC解码速度的“瓶颈”问题，提出了一种高效的CABAC解码器硬件结构，包括新的存储访问方式、优化的解码核心单元结构以及子解码器级联的方式。实验结果表明，该硬件结构可显著提高CABAC的解码效率。

Comparing to other entropy coding standard,CABAC(context adaptive binary arithmetic coding) has more significant enhancement in compression.However,its encoding/decoding efficiency is low due to calculation complexity and costs in memory access.To deal with the "bottleneck" problem in decoding process,the article proposes efficient hardware architecture for CABAC decoder,including a new memory access mode,an optimizing decoding core and four concatenating decoding engines.The experimental results show that the decoding efficiency is greatly increased by the hardware architecture.