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Bit stream compression using Self-Adaptive EFDR coding

机译:使用自适应EFDR编码进行位流压缩

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With the rapid increase in the scale and complexity of circuits and systems, the storage of large amounts of output bit stream, which is the sequence of 0s and 1s, has become a severe problem. As the cost of data storage is high, typically for FPGA reconfiguration stream, a particular compression algorithm needs to be introduced to minimize the data size. However, current compression schemes either compromise to hardware overhead or lack adaption to different cases. This paper is to propose an improved scheme. Dictionary compression scheme based on bitmask is implemented on the source stream to find the analogous segments in the bit stream. Meanwhile, we make the selection and use run-length coding to achieve further compression. This paper is to present a novel Self-Adaptive Extended Frequency-Directed Run-Length (SA-EFDR) coding to improve the compression ratio by 15% in best case compared to Golomb coding. Also, our coding can make self-adaption to different cases. Improvement has been verified with typical benchmarks from ISCAS'89 benchmarks.
机译:随着电路和系统的规模和复杂性的迅速增加,以0和1的顺序存储的大量输出比特流已经成为严重的问题。由于数据存储的成本很高,通常对于FPGA重新配置流而言,需要引入特定的压缩算法以最小化数据大小。但是,当前的压缩方案要么折衷于硬件开销,要么无法适应不同情况。本文旨在提出一种改进的方案。在源流上实现基于位掩码的字典压缩方案,以在位流中找到相似的段。同时,我们进行选择并使用行程编码来实现进一步的压缩。本文将提出一种新颖的自适应扩展频率定向游程长度(SA-EFDR)编码,与Golomb编码相比,在最佳情况下可将压缩率提高15%。同样,我们的编码可以适应不同的情况。改进已通过ISCAS'89基准中的典型基准进行了验证。

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