• DocumentCode
    1706092
  • Title

    Some improvements in the HMM based multiple frequency line tracking algorithms

  • Author

    Xie Xianya ; Qiang, Zhu ; Huangrun, Li

  • Author_Institution
    Sch. of Autom., Shanghai Univ., China
  • Volume
    1
  • fYear
    1996
  • Firstpage
    229
  • Abstract
    The authors propose some effective measures to improve the hidden Markov model (HMM) based multiple frequency line tracking algorithms. These measures include a simple way to estimate the amplitude of the sinusoidal signal and include a way to reduce the computational burden of the multiple frequency line tracking algorithms. These are supported by simulations
  • Keywords
    amplitude estimation; computational complexity; hidden Markov models; tracking; HMM; amplitude estimation; computational complexity reduction; hidden Markov model; multiple frequency line tracking algorithms; sinusoidal signal; Amplitude estimation; Computational modeling; Frequency conversion; Frequency estimation; Frequency measurement; Hidden Markov models; Radar tracking; Signal processing; Signal to noise ratio; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 1996., 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-2912-0
  • Type

    conf

  • DOI
    10.1109/ICSIGP.1996.567112
  • Filename
    567112
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1706092