• Title/Summary/Keyword: Supercompact Multiwavelets

Search Result 4, Processing Time 0.016 seconds

Thresholding for CFD data compression based on Supercompact Multiwavelets (Supercompact Multiwavelets 을 이용한 CFD 데이터 압축의 Thresholding)

  • Kwon, Do-Hoon;Lee, Do-Hyung
    • Proceedings of the KSME Conference
    • /
    • 2003.11a
    • /
    • pp.962-967
    • /
    • 2003
  • CFD data compression method based on supercompact multiwavelets is presented. High data compression can be achieved when taking advantage of the compact nature of multiwavelets. Thresholding technique is also a matter of primary concern in determining pressure ratio. In this paper, we apply thresholding for multiwavelets that considers the coefficient vector as a whole rather than thresholding individual elements. Various thresholding methods are described briefly. CFD data compression suggests that the multivariate thresholding method is suitable for supercompact multiwavelets.

  • PDF

A Study on the Comparison Between Full-3D and Quasi-1D Supercompact Multiwavelets (Full-3D와 Quasi-1D Supercompact Multiwavelets의 비교 연구)

  • Park, June-Pyo;Lee, Do-Hyung;Kwon, Do-Hoon
    • Transactions of the Korean Society of Mechanical Engineers B
    • /
    • v.28 no.12
    • /
    • pp.1608-1615
    • /
    • 2004
  • CFD data compression methods based on Full-3D and Quasi-1D supercompact multiwavelets are presented. Supercompact wavelets method provide advantageous benefit that it allows higher order accurate representation with compact support. Therefore it avoids unnecessary interaction with remotely located data across singularities such as shock. Full-3D wavelets entails appropriate cross-derivative scaling function & wavelets, hence it can allow highly accurate multi-spatial data representation. Quasi-1D method adopt 1D multiresolution by alternating the directions rather than solving huge transformation matrix in Full-3D method. Hence efficient and relatively handy data processing can be conducted. Several numerical tests show swift data processing as well as high data compression ratio for CFD simulation data.

A Study on CFD Data Compression Using Hybrid Supercompact Wavelets

  • Hyungmin Kang;Lee, Dongho;Lee, Dohyung
    • Journal of Mechanical Science and Technology
    • /
    • v.17 no.11
    • /
    • pp.1784-1792
    • /
    • 2003
  • A hybrid method with supercompact multiwavelets is suggested as an efficient and practical method to compress CFD dataset. Supercompact multiwavelets provide various advantages such as compact support and orthogonality in CFD data compression. The compactness is a crucial condition for approximated representation of CFD data to avoid unnecessary interaction between remotely spaced data across various singularities such as shock and vortices. But the supercompact multiwavelet method has to fit the CFD grid size to a product of integer and power of two, m${\times}$2$^n$. To resolve this problem, the hybrid method with combination of 3, 2 and 1 dimensional version of wavelets is studied. With the hybrid method, any arbitrary size can be handled without any shrinkage or expansion of the original problem. The presented method allows high data compression ratio for fluid simulation data. Several numerical tests substantiate large data compression ratios for flow field simulation successfully.

Supercompact Multiwavelets for Three Dimensional Flow Field Simulation (3차원 유동 시뮬레이션을 위한 Supercompact 다중 웨이블릿)

  • Yang, Seung-Cheol;Lee, Do-Hyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.33 no.12
    • /
    • pp.18-25
    • /
    • 2005
  • This paper presents a supercompact multi-wavelet scheme and its application to fluid simulation data. The supercompact wavelet method is an appropriate wavelet for fluid simulation data in the sense that it can provide compact support and avoid unnecessary interaction with remotely located data (e.g. across a shock discontinuity or vortices). thresholding for data compression is applied based on a covariance vector structure of multi-wavelets. The extension of this scheme to three dimensions is analyzed. The numerical tests demonstrate that it can allow various analytic advantages as well as large data compression ratios in actual practice.