An efficient lattice predictor algorithm for instantaneous frequency estimation

D. H. Youn, V. J. Mathews, Sung Ho Cho

Research output: Contribution to journalArticle

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An efficient method for spectral analysis of non-stationary signals is proposed. The signals are modelled as time-varying autoregressive (AR) processes and the relevant AR parameters are obtained from the adaptive lattice predictor coefficients minimizing the forward/backward prediction errors. In this paper it is proposed to use the sign algorithm, which computes the pertinent coefficients using only the signs of the forward/backward prediction errors at each stage. This method requires less number of multiplications than other adaptive lattice predictor algorithms. The performance of this method is compared with that of the adaptive lattice predictor using the least mean square algorithm for the problems of estimating instantaneous frequencies of FM signals via computer simulations.

Original languageEnglish
Pages (from-to)61-74
Number of pages14
JournalSignal Processing
Issue number1
Publication statusPublished - 1986 Jan 1



  • Lattice predictor
  • MEM spectrum estimation
  • SA-LAT
  • autoregressive parameters
  • instantaneous frequency
  • sign algorithm

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