Olkkonen H
University of Kuopio, Department of Applied Physics, Finland.
Med Eng Phys. 1995 Sep;17(6):455-8. doi: 10.1016/1350-4533(94)00001-p.
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.
本研究介绍了一种用于非平稳短期信号时频分析（TFA）的运行离散傅里叶变换（RDFT）。RDFT算法采用了一种具有可调时频特性的窗函数。提出了一种广义加权滤波器，它将随时间变化的信号映射到时频平面。作为示例，推导了指数、伽马和二项式窗序列的加权滤波器。讨论了RDFT算法在生物医学信号分析中的应用。
