• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.39-47
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• 2021

Lempel-Ziv coding is one of the most famous source coding schemes. The output of this source coding is usually a non-uniform code, which requires additional source coding, such as arithmetic coding, to reduce a redundancy. However, this additional source code increases complexity and decoding latency. Thus, this paper proposes the optimal maximum a-posteriori (MAP) receiver for non-uniform source non-orthogonal multiple access (NOMA) with symmetric superposition coding (SSC). First, we derive an analytical expression of the bit-error rate (BER) for non-uniform source NOMA with SSC. Then, Monte Carlo simulations demonstrate that the BER of the optimal MAP receiver for the non-uniform source improves slightly, compared to that of the conventional receiver for the uniform source. Moreover, we also show that the BER of an approximate analytical expression is in a good agreement with the BER of Monte Carlo simulation. As a result, the proposed optimal MAP receiver for non-uniform source could be a promising scheme for NOMA with SSC, to reduce complexity and decoding latency due to additional source coding.

• 한국측량학회지
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• 제28권2호
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• pp.265-271
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• 2010

본 논문에서는 대용량의 수치표고모델(DEM) 데이터의 효율적인 압축을 위해 허프만 코딩과 Lempel-Ziv-Welch 압축방법을 기반으로 하는 새로운 DEM 압축 소프트웨어인 DEM_Comp를 개발하였다. DEM_Comp의 개발을 위해서 $C^{++}$ 언어를 이용하였으며, 모든 Window 플랫폼에서 사용이 가능하도록 하였다. 개발된 소프트웨어의 성능을 평가하기 위해 다양한 지형의 형태를 가지는 DEM에 대해 압축을 수행하고, 출력파일의 용량에 따른 압축효율을 평가하였다. 최근 새로운 지형데이터 취득장비인 LiDAR와 SAR 등에 의해 고해상도의 DEM의 활용이 급격하게 증가하고 있어, 데이터의 저장용량과 전송대역폭을 감소시킬 수 있는 DEM 압축기술이 매우 유용하게 이용되고 있다. 일반적으로 데이터 압축기술은 i) 데이터 사이의 관계를 분석하고, ii) 분석 결과에 따라 압축 및 저장기술을 결정하는 2부분으로 구성되는데, DEM_Comp에서는 정규격자, Lempel-Ziv 압축방법, 허프만 코딩의 3단계 압축 알고리즘을 통해 DEM이 압축된다. DEM_Comp의 압축효율 실험 결과 전처리만 수행하였을 경우 지형의 기복과 상관없이 압축효율은 약 83% 정도를 나타내었지만, 3단계의 압축 알고리즘이 완료된 경우에는 압축효율이 97%까지 증가하는 것으로 나타났다. 이러한 수치는 일반적인 상업용 압축 소프트웨어들과 비교하여 약 14% 정도의 압축효율이 향상되었음을 나타낸다. 이에 따라 본 연구에서 개발된 DEM_Comp S/W를 이용하면 대용량의 고해상도 DEM의 관리, 저장, 배포를 보다 효율적으로 수행할 수 있을 것으로 판단된다.

• Journal of Information Processing Systems
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• 제12권2호
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• pp.322-331
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• 2016

Image compression is an essential technique for saving time and storage space for the gigantic amount of data generated by images. This paper introduces an adaptive source-mapping scheme that greatly improves bit-level lossless grayscale image compression. In the proposed mapping scheme, the frequency of occurrence of each symbol in the original image is computed. According to their corresponding frequencies, these symbols are sorted in descending order. Based on this order, each symbol is replaced by an 8-bit weighted fixed-length code. This replacement will generate an equivalent binary source with an increased length of successive identical symbols (0s or 1s). Different experiments using Lempel-Ziv lossless image compression algorithms have been conducted on the generated binary source. Results show that the newly proposed mapping scheme achieves some dramatic improvements in regards to compression ratios.

• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.48-54
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• 2021

In most existing researches on non-orthogonal multiple access (NOMA) with symmetric superposition coding (SSC), uniform sources have been usually considered. For the first part in this two-part paper, for the strongest channel gain user, we showed that the bit-error rate (BER) for the optimal maximum a-posteriori (MAP) receiver for the non-uniform source improves slightly, compared to that of the conventional receiver for the uniform sources. We demonstrate that in communication scenarios of the non-uniform source NOMA schemes, for the weakest channel gain user, the BER performance of the optimal MAP receiver for a non-uniform source improves greatly, compared to that of the conventional receiver for uniform sources. We first derive an analytical expression of the BER for non-uniform source NOMA with SSC. Then, simulations demonstrate that the BER of the optimal MAP receiver for the non-uniform source improves, compared with that of the conventional maximum likelihood (ML) receiver for the uniform sources. In result, the proposed optimal MAP receiver for the non-uniform source could be a promising scheme for SSC NOMA, with improved BER performances.

• International Journal of Internet, Broadcasting and Communication
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• 제14권1호
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• pp.78-84
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• 2022

In this paper, to improve further the bit-error rate (BER) performance of the stronger channel user in non-uniform source non-orthogonal multiple access (NOMA) with symmetric superposition coding (SSC), we propose a smart bit-to-symbol (BTS) mapping of SSC. First, the analytical expression for the total allocated power of the proposed BTS mapping scheme is derived, and then we show that the BER of the proposed BTS mapping scheme improves further, compared to that of the existing BTS mapping scheme. Moreover, based on the simulations, the signal-to-noise (SNR) gain of the proposed BTS mapping scheme over the existing BTS mapping scheme is calculated. In result, the proposed BTS mapping could be a candidate scheme for non-uniform source SSC NOMA with the SNR gain.

• International journal of advanced smart convergence
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• 제11권1호
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• pp.36-41
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• 2022

Recently, to improve the performance of the strongest channel gain user in non-orthogonal multiple access (NOMA) with a non-uniform source and symmetric superposition coding (SSC), a novel bit-to-symbol (BTS) mapping have been proposed. However, only the performance of the user with the stronger channel gain was analyzed. Thus, we compare the bit-error rate (BER) of the new BTS scheme with that of uniform sources, especially for the user with weakest channel gain. First, we show that the performance of the novel BTS scheme for the user with weakest channel gain also improves, compared to that of the uniform sources. Furthermore, the signal-to-noise (SNR) gain of the new BTS scheme over the uniform sourcesis calculated. As a consequence, the novel BTS scheme would improve the performance of the user with weakest channel gain as well as that with the stronger channel gain for SSC NOMA with a non-uniform source.

• 융합신호처리학회논문지
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• 제3권1호
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• pp.33-40
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• 2002

본 연구에서는 의료영상 저장 및 전송 시스템에 필수적인 무손실 의료영상 압축 기법을 제안하였다. 의료영상은 방사선 영상 중에서 유방영상(mammography)과 자기공명영상을 사용하였으며, 이들 영상을 무손실로 압축하기 위하여 영역성장에 의한 영상분할 알고리듬을 제안하였다. 제안된 알고리듬은 원 영상이 에러 영상과 불연속 계수 영상, 그리고 상위 비트 데이터 등 세 가지의 부 영역으로 분할되도록 하였다. 그리고 영역성장 과정 후 생성된 불연속 계수 영상 데이터와 에러 영상을 국제 이진영상압축 표준이며 그레이코드(graycode)화된 영상의 압축에 적합한 JBIG(Joint Bi-level Image expert Group) 알고리듬을 이용하여 압축시켰다. 제안한 알고리듬과 타 연구에서 사용된 기법들을 비교 검토 한 결과 제안한 무손실 압축 기법을 적용하여 얻어지는 압축율은 JBIG, JPEG, LZ 기법에 비해 평균적으로 각각 3.7%, 7.9%, 23.6% 정도 개선됨을 알 수 있었다.