• DocumentCode
    2603981
  • Title

    Algebraic methods for the analysis and design of time-frequency signal processing algorithms

  • Author

    Rodriguez, Doming0 ; Seguel, Jaime ; Cruz, Edgardo

  • Author_Institution
    Puerto Rico Univ., Mayaguez, Puerto Rico
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    196
  • Abstract
    Some results on the study of algebraic methods for the analysis and design of time-frequency signal processing algorithms are presented. A time-frequency signal is defined as a signal whose spectral characteristics vary with time. Time-frequency signal processing is the mathematical treatment of signals with the objective of extracting relevant information. The processing of time-frequency signals is accomplished through the development of suitable algorithms. Emphasis placed on the analysis, design, and modification of time-frequency algorithms for machine implementation, and on the development of an environment to assist on this implementation. This environment is termed a computational mathematics environment (CME)
  • Keywords
    matrix decomposition; signal processing; time-frequency analysis; algebraic methods; computational mathematics environment; machine implementation; spectral characteristics; time-frequency signal processing algorithms; Algorithm design and analysis; Biomedical computing; Biomedical signal processing; Discrete wavelet transforms; Mathematics; Signal analysis; Signal design; Signal processing; Signal processing algorithms; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.393691
  • Filename
    393691