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优化LZW压缩算法的FPGA硬件实现

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LZW算法其软件实现速度较慢,占用CPU资源过多,不适合对实时性有要求的场景,针对这一问题,论文提出了基于FPGA的LZW压缩算法硬件实现,通过确定字典大小,优化字典更新,减少了搜索时间和占用内存。并使用Kintex-7系列FPGA XC7K160T进行硬件加速处理,极大地提高了数据压缩速度和效率。实验结果表明,该硬件实现在压缩速率上平均达到386 Mb/s,是软件的9。66倍,压缩速率、实时性等方面均优于传统软件实现的LZW算法。
FPGA Hardware Implementation of Optimized LZW Compression Algorithm
This article proposes a hardware implementation of the LZW compression algorithm based on FPGA to address the slow software implementation speed and excessive CPU resource consumption,which is not suitable for scenarios with real-time re-quirements.By determining the size of the dictionary and optimizing dictionary updates,search time and memory usage are reduced.The Kintex-7 series FPGA XC7K160T is used for hardware acceleration processing,greatly improving data compression speed and efficiency.Experimental results show that the hardware implementation achieves an average compression rate of 386 Mb/s,which is 9.66 times faster than software,and is superior to traditional software implementations of the LZW algorithm in terms of compression rate and real-time performance.

LZW algorithmFPGAcompression performancereal-time performance

严承启、李锦明

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中北大学半导体与物理学院 太原 030051

LZW算法 FPGA 压缩性能 实时性

装发基础研究项目

514010504-308

2024

舰船电子工程
中国船舶重工集团公司第709研究所 中国造船工程学会 电子技术学术委员会

舰船电子工程

CSTPCD
影响因子:0.243
ISSN:1627-9730
年,卷(期):2024.44(4)