pwvd6   Linux PC

PURPOSE ^

Sixth order kernel polynomial Wigner-Ville distribution

DESCRIPTION ^

 Sixth order kernel polynomial Wigner-Ville distribution

 Computes the 6th order kernel pwvd of the input signal. An analytic
 signal generator is called if the input signal is real. This version
 takes advantage of the reality of the    pwvd to    increase calculation
 speed.

 Usage:

     tfd = pwvd6( signal, lag_window_length, time_res, interpol [, fft_length])


 Parameters:

     tfd

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

    signal

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

    lag_window_length

      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 of
      the analysis.

    interpol

      The number of    interpolating the input    signal in time domain to get
      the proper time fractional time lags required    to compute the sixth
      order    kernel.

    fft_length

         Zero-padding at the fft stage of the analysis may be specified by
         giving an fft_length larger than normal. 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.

 

  See Also: pwvd4

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