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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2007  >  36(4): 703-705,708

AI Wei-hua, HUANG Yun-xian, SONG Zi-lin. Weather Radar Data Compression Based on Parallel Adaptive Coding Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(4): 703-705,708.
Citation: AI Wei-hua, HUANG Yun-xian, SONG Zi-lin. Weather Radar Data Compression Based on Parallel Adaptive Coding Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(4): 703-705,708.
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Weather Radar Data Compression Based on Parallel Adaptive Coding Algorithm

  • 1.

    Institute of Meteorology,PLA University of Science and Technology Nanjing 211101;

  • 2.

    Institute of Command Automation,PLA University of Science and Technology Nanjing 210007

  • Received Date: 2005-10-18
  • Publish Date: 2006-08-15
  • A novel compression algorithm for weather radar data based on parallel adaptive coding is presented. Considering the specialty of radar data, some efficient pre-processing algorithms for the data such as coordinate transformation algorithm, vector field holding algorithm and scalar filter algorithm are given first. Then the parallel adaptive coding algorithm is used to compress the pre-processed data. Experimental results show that for the weather radar data, the proposed parallel adaptive algorithm achieves good Power Signal to Noise Ratio (PSNR) even in low bit rate.
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  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Weather Radar Data Compression Based on Parallel Adaptive Coding Algorithm

  • 1. Institute of Meteorology,PLA University of Science and Technology Nanjing 211101;
  • 2. Institute of Command Automation,PLA University of Science and Technology Nanjing 210007
  • Received Date: 2005-10-18
  • Publish Date: 2006-08-15

Abstract: A novel compression algorithm for weather radar data based on parallel adaptive coding is presented. Considering the specialty of radar data, some efficient pre-processing algorithms for the data such as coordinate transformation algorithm, vector field holding algorithm and scalar filter algorithm are given first. Then the parallel adaptive coding algorithm is used to compress the pre-processed data. Experimental results show that for the weather radar data, the proposed parallel adaptive algorithm achieves good Power Signal to Noise Ratio (PSNR) even in low bit rate.

AI Wei-hua, HUANG Yun-xian, SONG Zi-lin. Weather Radar Data Compression Based on Parallel Adaptive Coding Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(4): 703-705,708.
Citation: AI Wei-hua, HUANG Yun-xian, SONG Zi-lin. Weather Radar Data Compression Based on Parallel Adaptive Coding Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(4): 703-705,708.
shu

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