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[01601] Estimation of the Elementary Chirp Model Parameters

  • Session Time & Room : 4E (Aug.24, 17:40-19:20) @G701
  • Type : Contributed Talk
  • Abstract : We propose some estimation techniques to estimate the elementary chirp model parameters. We derive asymptotic properties of least squares estimators (LSEs) and approximate least squares estimators (ALSEs) for the one-component elementary chirp model. We propose sequential LSEs and sequential ALSEs to estimate the multiple-component elementary chirp model parameters and prove that they have the same  theoretical properties as the LSEs. We illustrate the performance of the proposed sequential algorithm on a bat data.
  • Classification : 62H12, 62F12
  • Format : Talk at Waseda University
  • Author(s) :
    • Anjali Mittal (Indian Institute of Technology Kanpur)
    • Rhythm Grover (Indian Institute of Technology Guwahati)
    • Debasis Kundu (Indian Institute of Technology Kanpur)
    • Amit Mitra (Indian Institute of Technology Kanpur)