Pergressive Fourier analysis of encephalograms and renal potassium excretion data
Titel:
Pergressive Fourier analysis of encephalograms and renal potassium excretion data
Auteur:
Blume, Johannes
Verschenen in:
Biological rhythm research
Paginering:
Jaargang 12 (1981) nr. 3 pagina's 197-204
Jaar:
1981-09
Inhoud:
Through pergressive Fourier analysis of samples typical properties of this method are demonstrated. The most important difference from other mostly applied methods is that not only frequences (or period lengths, respectively) and amplitude values are used, but also phase relations of hidden oscillations, analogously to optical imaging when, e.g., a laser is added to lenses so that also phase relations of the wave trains in the optical field are used. In this way, from a three dimensional object not a plane picture is produced, but a picture equivalent to the original. In the pergressive Fourier analysis initial phase and period length of hidden oscillations are accurately obtained through linear regression in a phase diagram, regardless whether the at random selected analysing interval is an integer multiple of the hidden period length, or not. As compared to spectrum and correlation methods, pergressive Fourier analysis produces a consideraly higher accuracy in the calculation of oscillation parameters.