Add to ORKGThe 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, and new method for tuning the window parameters is presented. The study method 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.N/
The S-transform combines properties of the short-time Fourier (STFT) and wavelet transforms. It pres...
The discrete Fourier transform is extensively applied in spectrum analysis. However, the sampled sig...
International audienceIn this paper, we investigate the determination of an optimal window length as...
In many applications we are interested in the frequency content of a signal at a given period of tim...
The windowed Fourier transform is one of the most widely used time-frequency representations. In or...
This paper analyzes the signals captured during impacts and vibrations of a mechanical manipulator. ...
This thesis discusses the characteristics of time-windows and their application in frequency analysi...
This paper describes a new approach for the analysis of signals containing fluctuating harmonics. It...
A new method for the study and optimization of manipulator trajectories is developed. The novel feat...
The properties of the Gabor and Morlet transforms are examined with respect to the Fourier analysis ...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
Abstract: In statistical signal processing, power spectral density estimation is a frequency domain ...
This paper is provided by National Instruments and covers the theory of using window functions to i...
Energy concentration of the S-transform in the time-frequency domain has been addressed in this pape...
In the field of sensor signal processing, windows are time-/frequency-domain weighting functions tha...
The S-transform combines properties of the short-time Fourier (STFT) and wavelet transforms. It pres...
The discrete Fourier transform is extensively applied in spectrum analysis. However, the sampled sig...
International audienceIn this paper, we investigate the determination of an optimal window length as...
In many applications we are interested in the frequency content of a signal at a given period of tim...
The windowed Fourier transform is one of the most widely used time-frequency representations. In or...
This paper analyzes the signals captured during impacts and vibrations of a mechanical manipulator. ...
This thesis discusses the characteristics of time-windows and their application in frequency analysi...
This paper describes a new approach for the analysis of signals containing fluctuating harmonics. It...
A new method for the study and optimization of manipulator trajectories is developed. The novel feat...
The properties of the Gabor and Morlet transforms are examined with respect to the Fourier analysis ...
The aim of the data analysis is to explore the main characteristics of the signal by a signal transf...
Abstract: In statistical signal processing, power spectral density estimation is a frequency domain ...
This paper is provided by National Instruments and covers the theory of using window functions to i...
Energy concentration of the S-transform in the time-frequency domain has been addressed in this pape...
In the field of sensor signal processing, windows are time-/frequency-domain weighting functions tha...
The S-transform combines properties of the short-time Fourier (STFT) and wavelet transforms. It pres...
The discrete Fourier transform is extensively applied in spectrum analysis. However, the sampled sig...
International audienceIn this paper, we investigate the determination of an optimal window length as...