• DocumentCode
    1134434
  • Title

    Maximum energy principle of multiple transforms in data compression

  • Author

    Zou, Feng ; Gallagher, Richard R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
  • Volume
    43
  • Issue
    12
  • fYear
    1995
  • fDate
    12/1/1995 12:00:00 AM
  • Firstpage
    3036
  • Lastpage
    3039
  • Abstract
    A novel approach in signal decomposition and data compression is proposed based on the maximum energy principle (MEP) of multiple transforms (MEPOMT). The complementary property of the discrete cosine transform (DCT) and wavelet transform (WT) in signal decomposition makes MEPOMT an efficient data compression method for signals containing both narrowband and wideband components
  • Keywords
    data compression; discrete cosine transforms; wavelet transforms; DCT; MEP; MEPOMT; WT; complementary property; data compression; maximum energy principle; multiple transforms; narrowband components; signal decomposition; wideband components; Availability; Data compression; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Indexing; Narrowband; Robustness; Signal resolution; Wideband;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.476965
  • Filename
    476965
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1134434