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영상 정보의 LDPC 부호화 및 복호기의 FPGA구현

LDPC Coding for image data and FPGA Implementation of LDPC Decoder

  • 투고 : 2017.04.27
  • 심사 : 2017.08.01
  • 발행 : 2017.08.31

초록

잡음이 존재하는 채널환경에서의 정보전송을 위해서는 정보의 부호화 기술이 필요하다. 오류 검출과 정정에 사용되는 여러 가지 부호화 기술 중 Shannon의 한계에 가장 근접한 부호화 기술이 저밀도 패러티 체크(Low density Parity Check :LDPC) 부호이다. LDPC 부호와 sum-product 알고리즘의 조합에 의하여 얻어지는 복호 특성은 터보 부호, RA(Repeat Accumulate) 부호의 성능에 필적하며, 부호장이 매우 긴 경우에는 이들 성능을 추월한다. 본 논문에서는 영상 정보의 LDPC 부호화와 복호화 기술 원리에 관해 설명하고, Sum-product 알고리듬을 사용하는 LDPC 복호기를 FPGA로 구현한다.

In order to transmit information in a channel environment in which noise exists, a coding technique of information is required. One of the coding techniques used for error detection and correction close to the Shannon limit is Low Density Parity Code(LDPC). LDPC and decoding characteristic features by Sum-product algorithm are matched for the performance to Turbo Code, RA(Repeat Accumulate) code, in case of very long code length of LDPC surpass their performance. This paper explains LDPC coding scheme of image data and decoding scheme, implements LDPC decoder in FPGA.

키워드

참고문헌

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