• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.3 s.345
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• pp.103-110
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• 2006

Turbo code, a kind of error correction coding technique, has been used in the field of digital mobile communication system. As the number of iterations increases, it can achieves remarkable BER performance over AWGN channel environment. However, if the number of iterations Is increases in the several channel environments, any further iteration results in very little improvement, and requires much delay and computation in proportion to the number of iterations. To solve this problems, it is necessary to device an efficient criterion to stop the iteration process and prevent unnecessary delay and computation. In this paper, it proposes an efficient and simple criterion for stopping the iteration process in turbo decoding. By using variance values of noise derived from mean values of LLR in turbo decoder, the proposed algorithm can largely reduce the computation and average number of iterations without BER performance degradation. As a result of simulations, the computation of the proposed algorithm is reduced by about $66{\sim}80%$ compared to conventional algorithm. The average number of iterations is reduced by about $13.99%{\sim}15.74%$ compared to CE algorithm and about $17.88%{\sim}18.59%$ compared to SCR algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.10C
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• pp.1387-1394
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• 2004

Turbo code, a kind of error correction coding technique, has been used in the field of digital mobile communication systems. And it is well known about the fact that turbo code has better the BER performance as the number of decoding iterations increases in the AWGN channel environment. However, as the number of decoding iterations is increased under the several channel environments, any further iteration results in very little improvement, and it requires much delay, computation and power consumption in proportion to the number of decoding iterations. In this paper, it proposes the efficient iterative decoding stop criterion algorithm which can largely reduce the average number of decoding iterations of turbo code. Through simulations, it is verifying that the proposed algorithm can efficiently stop the iterative decoding by using the variance value of error probability for the soft output value, and can largely reduce the average number of decoding iterations without BER performance degradation. As a result of simulation, the average number of decoding iterations for the proposed algorithm is reduced by about 2.25% ~14.31％ and 3.79％ ~14.38% respectively compared to conventional schemes, and power consumption is saved in proportion to the number of decoding iterations.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.7 s.349
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• pp.143-149
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• 2006

Turbo code, a kind of error correction coding technique, has been used in the field of digital mobile communication system. As the number of iterations increases, it can achieves remarkable BER performance over AWGN channel environment. However, if the number of iterations is increased in the several channel environments, any further iteration results in very little improvement, and requires much delay and computation in proportion to the number of iterations. To solve this problems, it is necessary to device an efficient criterion to stop the iteration process and prevent unnecessary delay and computation. In this paper, it proposes an efficient and simple criterion for stopping the iteration process in turbo decoding. By using sign changed ratio of extrinsic information values in turbo decoder, the proposed algorithm can largely reduce the average number of iterations without BER performance degradation. As a result of simulations, the average number of iterations is reduced by about $12.48%{\sim}22.22%$ compared to CE algorithm and about $20.43%{\sim}54.02%$ compared to SDR algorithm.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.328-332
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• 2003

Since Jacquine introduced the image coding algorithm using fractal theory, many fractal image compression algorithms providing good quality at low bit rate have been proposed by Fisher and Beaumount et al.. But a problem of the previous implementations is that the decoding rests on an iterative procedure whose complexity is image -dependent. This paper proposes an iterative-free fractal image decoding algorithm to reduce the decoding time. In the proposed method, under the encoder previously with the same codebook image as an initial image to be used at the decoder, the fractal coefficients are obtained through calculating the similarity between the codebook image and a input image to be encoded. As the decoding process can be completed with received fractal coefficients and predefined initial image without repeated iterations, the decoding time could be remarkably reduced.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.9C
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• pp.801-809
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• 2007

LDPC Low Density Parity Check) code, which is an error correcting code determined to be applied to the 4th generation mobile communication systems, requires a heavy computational complexity due to iterative decodings to achieve a high BER performance. This paper proposes an algorithm to reduce the number of decoding iterations to increase performance of the decoder in decoding latency and power consumption. Measuring changes between the current decoded LLR values and previous ones, the proposed algorithm predicts directions of the value changes. Based on the prediction, the algorithm inverts the sign bits of the LLR values to speed up convergence, which means parity check equation is satisfied. Simulation results show that the number of iterations has been reduced by about 33% without BER performance degradation in the proposed decoder, and the power consumption has also been decreased in proportional to the amount of the reduced decoding iterations.

• Journal of Digital Contents Society
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• v.5 no.3
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• pp.199-204
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• 2004

A problem of many fractal image compression algorithms providing good quality at low bit rate is that the decoding time rests on an iterative procedure whose complexity is imag-dependent. This paper proposes an iterative-free fractal image decoding algorithm to reduce the decoding time. In the proposed method, under the encoder previously with the same codebook image as an initial image to be used at the decoder, the fractal coefficients are obtained through calculating the similarity between the codebook image and an input image to be encoded. As the decoding time could be remarkably reduced. For verifying the validity and universality of proposed method, We evaluated and analyzed the performance of decoding time and image quality for a number of still images and a moving picture with different distributed characteristics.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.71-74
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• 1999

본 논문에서는 이동 무선 채널에 의한 동영상의 실시간 전송을 위해 채널 상태에 따라 터보코드의 반복 복호 횟수를 자동으로 결정한 UEP(Unequal Error Protection) 채널 부호화 방법에 대해 레일리 페이딩 채널에서의 성능을 분석한다. 이 부호화 방법은 열악한 채널 환경에서 우선 순위가 높은 정보에 보다 많은 반복 횟수가 부과되게 함으로써 헤더 정보나 움직임 벡터 등과 같이 동영상 신호의 복원에 중요한 정보에 대한 오류의 전파효과를 억제시킬 수 있다. 연집 오류의 주요인인 레일리 페이딩 채널에서 복호기의 성능을 분석하기 위해 컴퓨터 모의실험을 수행해 그 결과를 제시한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.8A
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• pp.1441-1449
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• 2001

차세대 멀티미디어 이동통신인 IMT-2000의 규격에서는 3GPP와 3GPP2에서 모두 터보 코드를 채널 코덱으로 채택하고 있다. 그 중 3GPP 에서는 용도에 따라 길쌈부호와, 제한길이 4인 1/3 터보코드를 선택적으로 사용하도록 정의되어 있다. 터보코드는 복호기의 출력으로 경판정 복호 비트에 대한 신뢰도 값을 동시에 생성하여, 이를 이용한 반복복호로 우수한 BER 특성을 얻을 수 있어야 한다. 본 논문에서는 먼저 3GPP 규격의 터보 복호기에 적용할 수 있는 내부 복호기로서 SOVA 복호기를 설계하였다. 또한 터보 복호기에서의 연판정 출력값의 중요성을 감안하여, 누적메트릭 정규화에 있어서 신뢰도 값에 영향을 주지않는 구조를 제안하여 적용하였다. 본 연구에서는 효율적인 구조의 3GPP SOVA 복호기를 설계하기 위하여 C++를 이용하여 알고리즘에 대한 성능을 검증하였으며, 이를 기반으로 VHDL을 이용하여 복호기를 설계하였다. 마지막으로 Altera사의 EPF10K100GC503 FPGA를 이용하여 복호기를 하드웨어로 구현하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.1C
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• pp.1-8
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• 2004

This paper proposes a novel algorithm for a low power turbo decoder based on reduction of number of decoding iterations, targeting power-critical mobile communication devices. Previous researches that attempt to reduce number of decoding iterations, such as CRC-aided and LLR methods, either show degraded BER performance in return for reduced complexity or require additional hardware resources for controlling the number of iterations to meet BER performance, respectively. The proposed algorithm can reduce power consumption without degrading the BER performance, and it is achieved with minimal hardware overhead. The proposed algorithm achieves this by comparing consecutive hard decision results using a simple buffer and counter. Simulation results show that the number of decoding iterations can be reduced to about 60% without degrading the BER performance in the proposed decoder, and power consumption can be saved in proportion to the number of decoding iterations.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.3C
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• pp.296-306
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• 2003

In this paper, algorithm for non-iterative decoding method is proposed and fractal image decoder based on non-iterative fractal decoding algorithm used general purpose digital signal processors is designed and implemented. The algorithm is showed that the attractor image can be obtained analytically whe n the image is encoded using the fractal algorithm proposed by Monro and Dudbridge, in which the corresponding domain block for a range block is fifed. Using the analytical formulas, we can obtain the attractor image without iteration procedure. And we get general formulas of obtained analytical formulas. Computer simulation results for various test images show that we can increase the image decoding speed by more than five times when we use the analytical formulas compared to the previous iteration methods. The fractal image decoder contains two ADSP2181's and perform image decoding by three stage pipeline structure. The performance tests of the implemented decoder is elapsed 31.2ms/frame decoding speed for QCIF data when all the frames are decoded. The results enable us to process the real-time fractal decoding over 30 frames/sec.