A high-throughput memory-based VLC decoder with codeword boundary prediction
A high-throughput memory-based VLC decoder with codeword boundary prediction
复制标题
具有码字边界预测的基于存储器的高吞吐量 VLC 解码器
DOI：
10.1109/76.889063
复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
Chen
中科院分区：
文献类型：
--
作者：
B. Shieh;Yew;Chen
在本文中，我们提出了一种具有码字边界预测的基于高吞吐量存储器的 VLC 解码器。预测所需的信息被添加到所提出的分支模型中。基于有效的方案，这些分支模型和霍夫曼树结构被映射到内存模块上。利用预测信息，解压缩方案可以在解码过程完成之前确定码字长度。因此，并行处理器架构可以应用于VLC解码器以增强系统性能。在100 MHz的时钟速率下，双处理器解码过程可以实现平均解压速率高达72.5 Msymbols/s。因此，所提出的VLC解压缩方案满足当前和先进的多媒体应用的要求。
In this paper, we present a high-throughput memory-based VLC decoder with codeword boundary prediction. The required information for prediction is added to the proposed branch models. Based on an efficient scheme, these branch models and the Huffman tree structure are mapped onto memory modules. Taking the prediction information, the decompression scheme can determine the codeword length before the decoding procedure is completed. Therefore, a parallel-processor architecture can be applied to the VLC decoder to enhance the system performance. With a clock rate of 100 MHz, a dual-processor decoding process can achieve decompression rate up to 72.5 Msymbols/s on the average. Consequently, the proposed VLC decompression scheme meets the requirements of current and advanced multimedia applications.