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A New Architecture of a Two-Stage Lossless Data Compression and Decompression Algorithm

机译:两阶段无损数据压缩和解压缩算法的新架构

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In this paper, we propose a new architecture for the two-level lossless data compression and decompression algorithm proposed in that combines the PDLZW algorithm and an approximated adaptive Huffman algorithm with dynamic-block exchange (AHDB). In the new architecture, we replace the CAM dictionary set used in the PDLZW algorithm with a CAM-tag-based dictionary set to reduce hardware cost and the CAM-based ordered list used in the AHDB algorithm with a memory inter-reference (MIR) stage realized by using two SRAMs. The resulting architecture is then implemented based on cell-based libraries with both 0.35- $mu$m 2P4M and 0.18- $mu$m 1P6M process technologies, respectively. With the same process technology, the prototyped chip demonstrates the new architecture not only has better performance, at least 33% improvement, but also occupies less area, only about 44%, and consumes less power, about 50%, in comparison with the architecture proposed in . In addition, the maximum data rate can achieve 2 Gbps when realizing in 0.35 $mu$ m 2P4M process technology and 4 Gbps when realizing in 0.18-$mu$m 1P6M process technology.
机译:在本文中,我们为两级无损数据压缩和解压缩算法提出了一种新架构,该架构结合了PDLZW算法和具有动态块交换(AHDB)的近似自适应霍夫曼算法。在新架构中,我们将PDLZW算法中使用的CAM字典集替换为基于CAM标签的字典集,以减少硬件成本,并将AHDB算法中使用的基于CAM的有序列表替换为内存互引用(MIR)通过使用两个SRAM实现这一阶段。然后,基于基于单元的库分别使用0.35-μm2P4M和0.18-μm1P6M工艺技术来实现最终的体系结构。使用相同的工艺技术,原型芯片证明了新架构不仅具有更好的性能,至少33%的改进,而且与该架构相比,其占用的面积更少,仅为约44%,功耗更低,约为50%。提议在。此外,采用0.35μm2P4M处理技术实现最大数据速率可以达到2 Gbps,而采用0.18μm2P4M处理技术实现最大数据速率可以达到4 Gbps。

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