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一种高效的模拟波形数据压缩方法 被引量:1

An Efficient Compression Method for Analog Waveforms
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摘要 随着集成电路规模的增加,电路仿真的波形数据量也急剧膨胀.为了降低存储量,提出了一种高效的模拟波形数据压缩方法.该压缩方法是流压缩方法,采用预测、量化、编码等技术,所需的数据缓冲存储量很小,可在电路仿真时对仿真波形进行实时压缩和输出.在保持数据精度的同时,该方法可以达到很高的压缩比.该方法计算复杂度低,可以处理大数据量的波形文件,是一种非常实用的压缩方法.实际电路的仿真波形压缩测试结果表明,当波形误差在0.1%左右时,压缩文件大小仅为原文件的10%左右,极大地降低了数据存储量. The simulation data increases drastically with the increasing scale of integrated circuit(IC). In order to reduce the size of simulation data, an efficient compression method for analog waveforms is proposed which can achieve high compression ratio and guarantee the accuracy. Furthermore, the computational cost is remarkably lower and it can handle mass data efficiently. Meanwhile, the proposed compression method is a stream compression method. The buffering requirement is remarkably lower. The simulation data can be compressed during the simulation. Experimental results demonstrate that the proposed method can achieve 10~ compression ratio with 0.1 ~//0 error.
出处 《复旦学报(自然科学版)》 CAS CSCD 北大核心 2013年第4期486-491,共6页 Journal of Fudan University:Natural Science
基金 国家自然科学基金(61006030) 国家十二五科技重大专项(2011ZX01034-005-001-03) 国家重点基础研究发展计划(2011CB309701)资助项目
关键词 集成电路 仿真波形 压缩方法 integrated circuit simulation waveform compression
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  • 1Livinston F, Magotra N, Stearns S, et al. Real time implementation concerns for lossless waveform compression[C]// International Symposium on Circuits and Systems. Seattle, WA, USA: IEEE Press, 1995: 1267-1270.
  • 2Edwin N, Ruan S J, Ho C L, et al. A novel approach for digital wavdorm compression[C]// Asia and South Pacific Design Automation Conference. Kitakyushu, Japan: IEEE Press, 2003.- 712 715.
  • 3Hatami S, Feldmann P, Abbaspour S, et al. Efficient compression and handling of current source model library waveforms[C] // Design, Automation and Test in Europe Conference and Exhibition. Dresden, Germany.- IEEE Press, 20091 1178-1183.
  • 4方军,俞槐铨.信息论与编码[M].1版.北京:电子工业出版社,1994.
  • 5Mandyam G, Ahmed N, Magotra N. A DCT-based scheme for lossless image compression[C]//IS&T/ SPIE Electronic Imaging Conference. San Jose, California, USA: IEEE Press, 1995.. 474-480.
  • 6DzungT H, Philip M L, Jeffrey S V. Dictionary selection using partial matching[J]. Information Sciences, 1999, 119(1): 57-72.
  • 7Balasubramanian R, Charles A B, Allebach J P. Sequential scalar quantization of vectors: An analysis [J]. IEEE Transactions on Image Processing, 1995, 4(9): 1282-1295.
  • 8YazdanpanahA, Hashemi M R. A new compression ratio prediction algorithm for hardware implementations of LZW data compression[C]// Computer Architecture and Digital Systems. Tehran, Iran: IEEE Press, 2010: 155-156.
  • 9杨文涛,刘卫忠,郑立新,邹雪城.多阶上下文自适应二进制算术编码实现[J].华中科技大学学报(自然科学版),2007,35(3):42-45. 被引量:8

二级参考文献5

  • 1Marpe D,Blattermann G,Heising G,et al.Further results for CABAC entropy coding scheme[R].VCEG-M59.Austin:ITU-T SG 16,2001.
  • 2David S.数据压缩原理与应用[M].吴乐南,译.北京:电子工业出版社,2003.
  • 3Marpe D,Blattermann G,Heising G,et al.Video compress using context-based adaptive binary arithmetic coding in JVT/H.261[C]∥Proc IEEE International Conference on Image Processing.Thessaloniki:IEEE,2001:558-561.
  • 4Triantafyllidis G A,Strintzis M G.A context based adaptive arithmetic coding technique for lossless image compression[J].IEEE Signal Processing Letters,1999,6(7):168-170.
  • 5孙水发,张华熊,仇佩亮.JPEG 2000——新的静止图像压缩标准[J].计算机辅助设计与图形学学报,2003,15(11):1339-1346. 被引量:13

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