I am trying to figure out σt and σf for the Morlet wavelet knowing that the time bandwidth product is equal to 2.5. Any suggestion ?
The Morlet wavelet time-bandwidth product is a parameter used in signal processing to determine the width of the wavelet in both time and frequency domains. It is calculated as the ratio of the wavelet's central frequency to its bandwidth.
The Morlet wavelet time-bandwidth product determines the shape of the wavelet by influencing the width of the wavelet's time and frequency domains. A higher time-bandwidth product results in a narrower wavelet with higher frequency resolution and lower time resolution, while a lower time-bandwidth product results in a wider wavelet with lower frequency resolution and higher time resolution.
The Morlet wavelet time-bandwidth product is important in time-frequency analysis because it allows for the modification of the wavelet's width, which affects the trade-off between time and frequency resolution. This allows for better analysis of signals with varying frequency content over time.
The Morlet wavelet time-bandwidth product is chosen based on the specific needs of the analysis. A higher time-bandwidth product may be preferred for signals with rapid frequency changes, while a lower time-bandwidth product may be better for signals with slow frequency changes. It is also important to consider the desired balance between time and frequency resolution.
Yes, the Morlet wavelet time-bandwidth product can be adjusted after the analysis has been performed. However, this may require re-performing the analysis with the new time-bandwidth product. It is generally recommended to choose the appropriate time-bandwidth product before conducting the analysis.