Lima, Miguel F. M.Tenreiro Machado, J. A.2019-04-162019-04-162010-10http://hdl.handle.net/10400.22/13609The windowed Fourier transform is one of the most widely used time-frequency representations. In order to use this technique several parameters must be defined according to the signal analyzed. In this paper are studied the effects of the type, the shape, the length and the overlap of the windows. A power law/fractional window that we call fractional is defined and a new method for tuning the window parameters is presented. The study is based on the information theory and is applied to signals captured during the movement of a robotic manipulator. The experimental results demonstrate the applicability and the effectiveness of the proposed approach.engWindowed Fourier transformShort time Fourier transformRoboticsSignal processingTimefrequency analysisMutual informationPower lawconference object