• DocumentCode
    2964755
  • Title

    Compression of bathymetric data using wavelets

  • Author

    Singh, Inderjit ; Agathoklis, P. ; Antoniou, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
  • fYear
    1995
  • fDate
    17-19 May 1995
  • Firstpage
    635
  • Lastpage
    638
  • Abstract
    The compression of bathymetric data using three different types of wavelet transforms as well as the discrete cosine transform (DCT) is considered. The various compression schemes are then compared with respect to the compression ratios achieved, computational complexity, and accuracy of reproduction. The results indicate that the wavelet transforms can yield higher compression ratios than the DCT. Further, these transforms offer reduced computational complexity relative to the DCT
  • Keywords
    bathymetry; computational complexity; data compression; discrete cosine transforms; geophysical signal processing; oceanographic techniques; wavelet transforms; accuracy; bathymetric data; compression; compression ratios; computational complexity; discrete cosine transform; wavelets; Computational complexity; Data compression; Discrete cosine transforms; Discrete transforms; Reconstruction algorithms; Refractive index; Signal generators; Signal resolution; Wavelet coefficients; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-2553-2
  • Type

    conf

  • DOI
    10.1109/PACRIM.1995.520445
  • Filename
    520445