In signal processing, time–frequency analysis is a body of techniques and methods used for characterizing and manipulating signals whose statistics vary in time, such as transient signals.
- What is time-frequency analysis in EEG?
- What is meant by time-frequency?
- What is time and frequency domain analysis?
- What is the best method for frequency analysis?
What is time-frequency analysis in EEG?
Time-frequency analyses of EEG provide additional information about neural synchrony not apparent in the ongoing EEG. They can tell us which frequencies have the most power at specific points in time and space and how their phase angles synchronize across time and space.
What is meant by time-frequency?
A time–frequency representation (TFR) is a view of a signal (taken to be a function of time) represented over both time and frequency. Time–frequency analysis means analysis into the time–frequency domain provided by a TFR.
What is time and frequency domain analysis?
Frequency-domain analysis is widely used in such areas as communications, geology, remote sensing, and image processing. While time-domain analysis shows how a signal changes over time, frequency-domain analysis shows how the signal's energy is distributed over a range of frequencies.
What is the best method for frequency analysis?
The short-time Fourier transform (STFT) method is commonly used, as are more advanced techniques such as wavelet techniques.