wvpe   Linux PC

PURPOSE ^

Peak of Wigner-Ville Frequency Estimation

DESCRIPTION ^

 Peak of Wigner-Ville Frequency Estimation

 Estimates the instantaneous frequency of the input signal by
 extracting the peaks of the Wigner-Ville distribution.


 Usage:

     ife = wvpe( signal, lag_window_length, time_res [, fft_length] )

 Parameters:

    signal

      Input one dimensional signal to be analysed. An analytic signal
      is required for this function, however, if signal is real, a
      default analytic transformer routine will be called from this
      function before computing tfd.

    lag_window_length

      This is the data window length and controls the size of
      the kernel used for analysis (lag_window_length must be
      odd). The kernel used will be defined from -(lag_window_length+1)/2
      to +(lag_window_length+1)/2 in both time and lag dimensions.

    time_res

      The number of time samples to skip between successive slices.
      Default vaule is 1.

    fft_length

      Zero-padding at the FFT stage of the analysis may be specified by
      giving an fft_length larger than lag_window_length. If fft_length
      is not specified, or is smaller than the lag_window_length, then the
      next highest power of two above lag_window_length is used. If
      fft_length is not a power of two, the next highest power of two is
      used.

     tfd

      The computed time-frequency distribution. size(tfd) will
      return [a, b], where a is the next largest power of two above
      fft_length, and b is floor(length(signal)/time_res) - 1.



  See Also: wvd

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