• 제목/요약/키워드: Complex coding

검색결과 241건 처리시간 0.025초

Homography 참조 픽처를 사용한 화면 간 예측 효율 향상 방법 (Improvement of Inter prediction by using Homography Reference Picture)

  • 김태현;박광훈
    • 방송공학회논문지
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    • 제22권3호
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    • pp.397-400
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    • 2017
  • 최근 드론, 액션캠 등과 같은 촬영 장비의 활성화로 다양한 전역 움직임을 내포한 영상들이 많이 생성되고 있다. 이때 회전, 확대, 축소 등의 움직임이 발생한 경우, 2D motion vector를 활용하는 기존의 화면 간 예측 방법은 높은 부호화 효율을 기대하기 어렵다. 본 논문에서는 전역 움직임을 homography 참조 픽처를 통해 반영한 비디오 부호화 방법을 제안한다. 제안방법으로, 1) 현재 픽처와 참조 픽처간 전역 움직임 관계를 homography로 파악하여 새로운 참조 픽처를 생성하는 방법, 2) homography 참조 픽처를 화면 간 예측에 활용하는 방법이 있다. 실험은 HEVC 참조 소프트웨어인 HM 14.0에 적용하였고, 실험결과 RA 기준 6.6% 부호화 효율이 증가했다. 특히, 회전 전역 움직임을 지니는 영상을 이용한 실험 결과에서는 기존대비 최대 32.6%의 부호화 효율이 증가하는 결과를 나타내어, 드론과 같이 복잡한 전역 움직임이 자주 나타나는 비디오에서 높은 효율을 보일 수 있을 것으로 기대된다.

TCM 복호기의 ACS 다중화 및 생존경로척도 기억장치 관리 방법 (A Method of Multi-processing of ACS and Survivor Path Metric Memory Management for TCM Decoder)

  • 최시연;강병희;김진우;오길남;김덕현
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 제14회 신호처리 합동 학술대회 논문집
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    • pp.865-868
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    • 2001
  • TCM offers considerable coding gains without compromising bandwidth or signal power. But TCM decoder is more complex than convolutional Viterbi decoder. Because, the number of branches exponentially increased by the constraint length and input symbol bits. The parallelism of ACS and memory management technique of SPMM is one of the important factor for speed-up and hardware complexity. This paper proposes a multi-processing technique of ACS and also gives a memory management technique of SPMM in TCM decoders.

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최적의 FEC 부호율 결정을 위한 정확한 채널손실 한계집합 추정기법 (An Accurate Estimation of Channel Loss Threshold Set for Optimal FEC Code Rate Decision)

  • 정태준;정요원;서광덕
    • 방송공학회논문지
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    • 제19권2호
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    • pp.268-271
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    • 2014
  • 소스 부호 왜곡 모델 및 채널 유도 왜곡 모델 기반의 기존의 FEC 부호율 결정 기법들은 일반적으로 높은 계산 복잡도와 구현 비용을 요구하는 모델 파라메터 트레이닝 과정을 요구한다. 본 논문에서는 복잡한 모델링 과정을 피하기 위해서 최적의 FEC 부호율 결정을 위한 채널 손실 한계집합을 추정하기 위한 정확한 소스-채널 결합 왜곡 모델을 제안한다.

On Jacket Matrices Based on Weighted Hadamard Matrices

  • Lee Moon-Ho;Pokhrel Subash Shree;Choe Chang-Hui;Kim Chang-Joo
    • Journal of electromagnetic engineering and science
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    • 제7권1호
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    • pp.17-27
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    • 2007
  • Jacket matrices which are defined to be $n{\times}n$ matrices $A=(a_{jk})$ over a field F with the property $AA^+=nI_n$ where $A^+$ is the transpose matrix of elements inverse of A,i.e., $A^+=(a_{kj}^-)$, was introduced by Lee in 1984 and are used for signal processing and coding theory, which generalized the Hadamard matrices and Center Weighted Hadamard matrices. In this paper, some properties and constructions of Jacket matrices are extensively investigated and small orders of Jacket matrices are characterized, also present the full rate and the 1/2 code rate complex orthogonal space time code with full diversity.

경계 강도 기반의 적응적 보간 필터 (Boundary Strength based Adaptive Interpolation Filter)

  • 송윤석;최정아;호요성
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2014년도 하계학술대회
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    • pp.26-27
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    • 2014
  • This paper presents an adaptive interpolation filtering scheme for the High Efficiency Video Coding (HEVC) standard. In regards to interpolation for motion estimation and compensation, the conventional HEVC employs 8-tap and 4-tap filters for luma and chroma samples, respectively. Coefficients in such filters are determined by discrete cosine transform (DCT). In the proposed scheme, boundary strength values are stored after the execution of the deblocking filter. For each block, the sum of boundary strength values is calculated to indicate whether its region is complex or simple. Consequently, based on the region classification, 12-tap and 8-tap interpolation filters are used for complex and simple regions, respectively. This process is applied to luma sample interpolation only. Simulation results show 1.8% average BD-rate reduction compared to the conventional method.

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Near-infrared face recognition by fusion of E-GV-LBP and FKNN

  • Li, Weisheng;Wang, Lidou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권1호
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    • pp.208-223
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    • 2015
  • To solve the problem of face recognition with complex changes and further improve the efficiency, a new near-infrared face recognition algorithm which fuses E-GV-LBP and FKNN algorithm is proposed. Firstly, it transforms near infrared face image by Gabor wavelet. Then, it extracts LBP coding feature that contains space, scale and direction information. Finally, this paper introduces an improved FKNN algorithm which is based on spatial domain. The proposed approach has brought face recognition more quickly and accurately. The experiment results show that the new algorithm has improved the recognition accuracy and computing time under the near-infrared light and other complex changes. In addition, this method can be used for face recognition under visible light as well.

Quasi-Orthogonal Space-Time Block Codes Designs Based on Jacket Transform

  • Song, Wei;Lee, Moon-Ho;Matalgah, Mustafa M.;Guo, Ying
    • Journal of Communications and Networks
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    • 제12권3호
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    • pp.240-245
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    • 2010
  • Jacket matrices, motivated by the complex Hadamard matrix, have played important roles in signal processing, communications, image compression, cryptography, etc. In this paper, we suggest a novel approach to design a simple class of space-time block codes (STBCs) to reduce its peak-to-average power ratio. The proposed code provides coding gain due to the characteristics of the complex Hadamard matrix, which is a special case of Jacket matrices. Also, it can achieve full rate and full diversity with the simple decoding. Simulations show the good performance of the proposed codes in terms of symbol error rate. For generality, a kind of quasi-orthogonal STBC may be similarly designed with the improved performance.

mGA를 사용한 복잡한 비선형 시스템의 뉴로-퍼지 모델링 (Neuro-Fuzzy Modeling of Complex Nonlinear System Using a mGA)

  • 최종일;이연우;주영훈;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.2305-2307
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    • 2000
  • In this paper we propose a Neuro-Fuzzy modeling method using mGA for complex nonlinear system. mGA has more effective and adaptive structure than sGA with respect to using the changeable-length string. This paper suggest a new coding method for applying the model's input and output data to the number of optimul rules of fuzzy models and the structure and parameter identifications of membership function simultaneously. The proposed method realize optimal fuzzy inference system using the learning ability of Neural network. For fine-tune of the identified parameter by mGA, back-propagation algorithm used for optimulize the parameter of fuzzy set. The proposed fuzzy modeling method is applied to a nonlinear system to prove the superiority of the proposed approach through compare with ANFIS.

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OpenFOAM : Open source CFD in research and industry

  • Jasak, Hrvoje
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제1권2호
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    • pp.89-94
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    • 2009
  • The current focus of development in industrial Computational Fluid Dynamics (CFD) is integration of CFD into Computer-Aided product development, geometrical optimisation, robust design and similar. On the other hand, in CFD research aims to extend the boundaries of practical engineering use in "non-traditional" areas. Requirements of computational flexibility and code integration are contradictory: a change of coding paradigm, with object orientation, library components, equation mimicking is proposed as a way forward. This paper describes OpenFOAM, a C++ object oriented library for Computational Continuum Mechanics (CCM) developed by the author. Efficient and flexible implementation of complex physical models is achieved by mimicking the form of partial differential equation in software, with code functionality provided in library form. Open Source deployment and development model allows the user to achieve desired versatility in physical modeling without the sacrifice of complex geometry support and execution efficiency.

복소 공간큐를 활용한 다채널 오디오 코딩 기술 (Complex Spatial Cue based Channel Audio Coding)

  • 백승권;임우택;이태진
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 하계학술대회
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    • pp.58-60
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    • 2022
  • 본 논문에서는 복소(complex) 공간큐를 활용한 다채널 오디오 부호화 기술을 제안한다. 복소 공간큐 방식의 다채널 오디오 부호화 기술은 시간영역에서 수행된다. 시간영역의 오디오 채널 신호를 복소 데이터로 변환하여 각 오디오 채널 간의 상관관계를 복소 공간큐로 표현하고, 이를 활용하여 채널 부호화를 수행하기 위한 오디오 채널 신호를 생성한다. 참조 기술로는 최고 성능의 오디오 코덱인 USAC의 예측 부호화 방식의 다채널 오디오 부호화 기술과 비교하여 정보량 감축 측면에 있어서 평균 2.24 dB 이상의 높은 SNR을 나타냄을 관측할 수 있었다.

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