Running discrete Fourier transform for time--frequency analysis of biomedical signals.
The present work introduces a running discrete Fourier transform (RDFT) for time-frequency analysis (TFA) of nonstationary short-term signals. The RDFT algorithm adapts a window function, which has adjustable time-frequency characteristics. A generalized weighting filter was proposed, which maps the time-dependent signal into the time-frequency plane. As an example the weighting filters were deduced for exponential, gamma and binomial window sequences. Application of the RDFT algorithm to the analysis of biomedical signals is discussed.
Olkkonen
H
H
University of Kuopio, Department of Applied Physics, Finland.
D000465:Algorithms; D004568:Electrodiagnosis; D005583:Fourier Analysis; D006801:Humans; D012815:Signal Processing, Computer-Assisted