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Bit stream compression using Self-Adaptive EFDR coding

机译:使用自适应EFDR编码的比特流压缩

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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快速增加,储存大量输出位流,这是0s和1s的序列已成为一个严重的问题。由于数据存储的成本高,通常用于FPGA重新配置流,需要引入特定的压缩算法以最小化数据大小。然而,电流压缩方案妥协到硬件开销或缺乏对不同情况的适应性。本文是提出改进的方案。基于位掩码的字典压缩方案在源流上实现,以查找位流中的类似段。同时,我们做出选择,并使用流量编码来实现进一步的压缩。本文介绍了一种新颖的自适应扩展频率定向的流长(SA-EFDR)编码,以在最佳情况下以与戈尔族编码相比,在最佳情况下提高压缩比15 %。此外,我们的编码可以为不同的情况进行自适应。已通过ISCAS'89基准验证了改进已通过典型的基准验证。

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