Time-Frequency analysis via the Fourier Representation
Pushpendra Singh

TL;DR
This paper introduces a novel time-frequency analysis method using the Fourier transform by defining 'frequentaneous time' as the frequency derivative of phase, providing a new perspective on nonstationary signal analysis.
Contribution
The study proposes a Fourier-based time-frequency representation using 'frequentaneous time,' offering a new approach to analyze nonstationary signals in the frequency domain.
Findings
Effective in analyzing nonstationary signals
Contains only frequencies present in the Fourier spectrum
Demonstrated through simulations and real data
Abstract
The nonstationary nature of signals and nonlinear systems require the time-frequency representation. In time-domain signal, frequency information is derived from the phase of the Gabor's analytic signal which is practically obtained by the inverse Fourier transform. This study presents time-frequency analysis by the Fourier transform which maps the time-domain signal into the frequency-domain. In this study, we derive the time information from the phase of the frequency-domain signal and obtain the time-frequency representation. In order to obtain the time information in Fourier domain, we define the concept of `frequentaneous time' which is frequency derivative of phase. This is very similar to the group delay, which is also defined as frequency derivative of phase and it provide physical meaning only when it is positive. The frequentaneous time is always positive or negative depending…
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Taxonomy
TopicsMachine Fault Diagnosis Techniques · Structural Health Monitoring Techniques · Advanced Electrical Measurement Techniques
