• 제목/요약/키워드: Matrix coefficients

검색결과 499건 처리시간 0.033초

Inter-Conversion Matrix for Transcoding Block DCT and DWT-Based Compressed Images

  • Kim, Donggyun;Lim, Sanghee;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • 제3권3호
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    • pp.103-109
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    • 2014
  • This study derived the inter-conversion matrices, which can be used in heterogeneous image transcoding between the compressed images using different transforms, such as the $8{\times}8$ block discrete cosine transform (BDCT) and the one-level discrete wavelet transform (DWT). Basically, to obtain the one-level DWT coefficients from $8{\times}8$ BDCT, inverse BDCT should be performed followed by forward DWT, and vice versa. On the other hand, if the proposed interconversion approach is used, only one inter-conversion matrix multiplication makes the corresponding transcoding possible. Both theoretical and experimental analyses showed that the amount of computation of the proposed approach decreases over 20% when the inter-conversion matrices are used under specific conditions.

Control charts for monitoring correlation coefficients in variance-covariance matrix

  • Chang, Duk-Joon;Heo, Sun-Yeong
    • Journal of the Korean Data and Information Science Society
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    • 제22권4호
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    • pp.803-809
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    • 2011
  • Properties of multivariate Shewhart and CUSUM charts for monitoring variance-covariance matrix, specially focused on correlation coefficient components, are investigated. The performances of the proposed charts based on control statistic Lawley-Hotelling $V_i$ and likelihood ratio test (LRT) statistic $TV_i$ are evaluated in terms of average run length (ARL). For monitoring correlation coe cient components of dispersion matrix, we found that CUSUM chart based on $TV_i$ gives relatively better performances and is more preferable, and the charts based on $V_i$ perform badly and are not recommended.

주성분분석에 의한 특성치평가에 관한 연구 - 신체검사의 예를 중심으로 - (A Study on Evaluation of the Characteristics Value in Principal Component Analysis)

  • 최진영;정관희
    • 산업경영시스템학회지
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    • 제3권3호
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    • pp.23-34
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    • 1980
  • The method of principal component analysis is originated by K. Pearson, who considered this as geometrical method Principal component analysis is the most elementary method, and this means that the information having various type of characteristics which have been correlated among themselves, are summarized by orthogonal transformations of characteristics. I: Even though we have different result whether this method is applied to homogeneous population or not. In this research we should deal with the case of homogeneous population only. II: On the other hand, we can have different result whether we start from covariance matrix or matrix of correlation- coefficients. In this research we are studying based on covariance matrix.

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통계계산에서의 갱신 알고리즘에 관한 연구 (Updating algorithms in statistical computations)

  • 전홍석
    • 응용통계연구
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    • 제5권2호
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    • pp.283-292
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    • 1992
  • 개인용 컴퓨터의 보급이 급격히 늘어남에 따라 자료의 통계분석에 개인용 컴퓨터가 많이 이용되고 있다. 컴퓨터의 하드웨어가 하루가 다르게 발전하고 있음으로 웬만큼 많은 양의 자료를 분석하는 데에는 컴퓨터의 기억용량이나 처리속도등이 문제되지는 않는다. 자료가 축차적(sequentially)으로 주어질 때 어떤 통계량을 계산하기 위하여 매번 전체 자료를 다시 읽어야 한다면 이는 번거로운 작업이 될 것이며 기억용량의 낭비임에 틀림없다. 이러한 문제점을 S/W 적인 입장에서 해결하고자 하는 노력이 바로 갱신 알고리즘(Updating Algorithm)이다. 이 연구에서는 몇가지 통계량에 대한 갱신 알고리즘들을 알아보고 그들의 특성을 밝힘으로써 소형 및 개인용 컴퓨터를 이용하여서도 많은 양의 자료분석이 가능하도록 하고자 한다.

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Mixing matrix estimation method for dual-channel time-frequency overlapped signals based on interval probability

  • Liu, Zhipeng;Li, Lichun;Zheng, Ziru
    • ETRI Journal
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    • 제41권5호
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    • pp.658-669
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    • 2019
  • For dual-channel time-frequency (TF) overlapped signals with low sparsity in underdetermined blind source separation (UBSS), this paper proposes an effective method based on interval probability to estimate and expand the types of mixing matrices. First, the detection of TF single-source points (TF-SSP) is used to improve the TF sparsity of each source. For more distinguishability, as the ratios of the coefficients from different columns of the mixing matrix are close, a local peak-detection mechanism based on interval probability (LPIP) is proposed. LPIP utilizes uniform subintervals to optimize and classify the TF coefficient ratios of the detected TF-SSP effectively in the case of a high level of TF overlap among sources and reduces the TF interference points and redundant signal features greatly to enhance the estimation accuracy. The simulation results show that under both noiseless and noisy cases, the proposed method performs better than the selected mainstream traditional methods, has good robustness, and has low algorithm complexity.

The statistical two-order and two-scale method for predicting the mechanics parameters of core-shell particle-filled polymer composites

  • Han, Fei;Cui, Junzhi;Yu, Yan
    • Interaction and multiscale mechanics
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    • 제1권2호
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    • pp.231-250
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    • 2008
  • The statistical two-order and two-scale method is developed for predicting the mechanics parameters, such as stiffness and strength of core-shell particle-filled polymer composites. The representation and simulation on meso-configuration of random particle-filled polymers are stated. And the major statistical two-order and two-scale analysis formulation is briefly given. The two-order and two-scale expressions for the strains and stresses of conventionally strength experimental components, including the tensional or compressive column, the twist bar and the bending beam, are developed by means of their classical solutions with orthogonal-anisotropic coefficients. Then a new effective mesh generation algorithm is presented. The mechanics parameters of core-shell particle-filled polymer composites, including the expected stiffness parameters, minimum stiffness parameters, and the expected elasticity limit strength and the minimum elasticity limit strength, are defined by means of the stiffness coefficients and elasticity strength criterions for core, shell and matrix. Finally, the numerical results for predicting both stiffness and elasticity limit strength parameters are compared with the experimental data.

산사태 발생지역에서의 지질조건별 토질특성 (Soil Properties regarding Geological Conditions in Landslides area)

  • 송영석;김원영;채병곤;김경수
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2005년도 춘계 학술발표회 논문집
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    • pp.884-889
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    • 2005
  • A lot of landslides were occurred in Gangnung, Macheon and Geochang areas by Typhoons such as RUSA(2002) and MEAMI(2003). Soil properties of these areas are investigated regarding geological conditions in this study. The shallow plane failure were occurred in Gangnung and Geochang areas, whereas the deep circle failure were occurred in Macheon area. The matrix in Gangnung and Geochang areas was composed of Granite, and the matrix in Macheon area was composed of Gabbro. The disturbed and undisturbed soils were sampled in these areas. As the results of laboratory tests using sampled soils, the coefficient of permeability in Granite region is lower than that in Gabbro region. In the cases that the silt and clay contents are included less than 4% for the soils of Granite region and less than 7% for the soils of Gabbro region, the coefficients of permeability are rapidly increased for both soils. In addition, the simple equations for predicting the coefficients of permeability are proposed using the effective particle size and the silt and clay contents according to geological condition.

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압축 센싱을 이용한 주파수 영역의 초음파 감쇠 지수 예측 (Estimation of Ultrasonic Attenuation Coefficients in the Frequency Domain using Compressed Sensing)

  • 심재윤;김형석
    • 전자공학회논문지
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    • 제53권6호
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    • pp.167-173
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    • 2016
  • 압축 센싱은 기존의 섀넌/나이키스트 이론보다 낮은 샘플링률로 신호를 샘플링 하여도 원신호로 복원할 수 있다는 이론이다. 본 논문에서는 압축 센싱을 이용하여 반향 신호의 정량적 주파수 특성을 직접 추출하여 이를 이용한 초음파 감쇠 지수 예측 방법을 제안한다. 일반적인 초음파 감쇠 지수 예측 방법들은 시간 영역에서 수집된 반향 신호를 Fourier 변환 등을 통해 주파수 영역으로 변환하는데, 제안하는 예측 방법은 압축 센싱으로 수집된 데이터를 복원하는 과정에서 적용하는 basis 행렬을 이용하여 시간 영역으로의 완전한 신호 복원 없이 반향 신호의 주파수 특성을 직접 추출하여 감쇠 지수를 예측한다. 3가지의 basis 행렬을 통해 주파수 영역에서 복원된 반향 신호에 대하여 다중 참조 신호를 이용한 Centroid Downshift 방법으로 감쇠 지수를 예측하여 각각의 예측 정확도와 실행 시간을 비교 분석하였다. 컴퓨터 모의 실험 결과 이산 코사인 변환(DCT) 행렬을 적용하는 경우, 50%의 압축률에서는 압축 센싱을 적용하지 않은 경우와 0.35% 이내의 예측 정확도를 보였으며, 압축률을 70%까지 높이는 경우에도 약 6% 이내의 평균 예측 오차를 보였다. 제안한 압축 센싱을 적용한 반향 신호의 주파수 특성 추출 방법은 향후 주파수 영역의 다른 정량적 초음파 분석 방법에 적용할 수 있다.

블록단위의 프래탈 근사화를 이용한 영상코딩 (Image Coding by Block Based Fractal Approximation)

  • 정현민;김영규;윤택현;강현철;이병래;박규태
    • 전자공학회논문지B
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    • 제31B권2호
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    • pp.45-55
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    • 1994
  • In this paper, a block based image approximation technique using the Self Affine System(SAS) from the fractal theory is suggested. Each block of an image is divided into 4 tiles and 4 affine mapping coefficients are found for each tile. To find the affine mapping cefficients that minimize the error between the affine transformed image block and the reconstructed image block, the matrix euation is solved by setting each partial differential coefficients to aero. And to ensure the convergence of coding block. 4 uniformly partitioned affine transformation is applied. Variable block size technique is employed in order to applynatural image reconstruction property of fractal image coding. Large blocks are used for encoding smooth backgrounds to yield high compression efficiency and texture and edge blocks are divided into smaller blocks to preserve the block detail. Affine mapping coefficinets are found for each block having 16$\times$16, 8$\times$8 or 4$\times$4 size. Each block is classified as shade, texture or edge. Average gray level is transmitted for shade bolcks, and coefficients are found for texture and edge blocks. Coefficients are quantized and only 16 bytes per block are transmitted. Using the proposed algorithm, the computational load increases linearly in proportion to image size. PSNR of 31.58dB is obtained as the result using 512$\times$512, 8 bits per pixel Lena image.

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결정도를 이용한 GF(3)상의 GRM 상수 생성 방법 (A Production method of GRM coefficients using Decision Diagram over GF(3))

  • 신부식;황종학;김흥수
    • 전자공학회논문지C
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    • 제36C권1호
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    • pp.41-48
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    • 1999
  • GF(3)상에서 n변수에 대한 3n개의 서로 다른 극수(Polarity)를 갖는 GRM(Generalized Reed Muller)상수를 구하는 방법을 제안하였다. n개의 입력변수에 대한 일반적인 GRM함수의 생성방법은 단변수에 대한 전달행렬을 구하고 이를 n번의 kronecker 곱을 행한 변환행렬을 이용하여 GRM상수를 구한다. 본 논문에서는 결정도를 이용한 GRM상수의 생성법을 나타내었다. 단 변수에 대한 상수 값의 변화를 결정도에 적용하고 이를 확장하여 n변수에 대한 GRM상수를 구하였다.

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