• Title/Summary/Keyword: Extrinsic parameter

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Effective Iterative Control Method to Reduce the Decoding Delay for Turbo TCM Decoder (터보 TCM 디코더의 복호 지연을 감소시키기 위한 효율적인 반복복호 제어기법)

  • 김순영;김정수;장진수;이문호
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.14 no.8
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    • pp.816-822
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    • 2003
  • In this paper, we propose an efficient iteration control method with low complexity for Turbo TCM(Turbo Trellis Coded Modulation) decoding which will be used fur power-limited environment. As the decoding approaches the performance limit of a given turbo code, any further iteration results in very little improvement. Therefore, it is important to devise an efficient criterion to stop the iteration process and prevent unnecessary computations and decoding delay. This paper presents an efficient algorithm for turbo TCM decoding that can greatly reduce the delay and iteration number. The proposed method use adaptive iteration number according to the criterion using the extrinsic information variance parameter in turbo TCM decoding process. The simulation results show that the proposed technique effectively can reduce the decoding delay and computation with very little performance degradation.

A Calibration Method for Multimodal dual Camera Environment (멀티모달 다중 카메라의 영상 보정방법)

  • Lim, Su-Chang;Kim, Do-Yeon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.9
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    • pp.2138-2144
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    • 2015
  • Multimodal dual camera system has a stereo-like configuration equipped with an infrared thermal and optical camera. This paper presents stereo calibration methods on multimodal dual camera system using a target board that can be recognized by both thermal and optical camera. While a typical stereo calibration method usually performed with extracted intrinsic and extrinsic camera parameter, consecutive image processing steps were applied in this paper as follows. Firstly, the corner points were detected from the two images, and then the pixel error rate, the size difference, the rotation degree between the two images were calculated by using the pixel coordinates of detected corner points. Secondly, calibration was performed with the calculated values via affine transform. Lastly, result image was reconstructed with mapping regions on calibrated image.