Rectangular mask short-time Fourier transform
In mathematics and Fourier analysis, a rectangular mask short-time Fourier transform is a simplified form of the short-time Fourier transform which is used to analyze how a signal's frequency content changes over time. In rec-STFT, a rectangular window is used to isolate short time segments of the signal. Other types of the STFT may require more computation time than the rec-STFT.
The rectangular mask function can be defined for some bound over time as
We can change B'' for different tradeoffs between desired time resolution and frequency resolution.
Rec-STFT
Inverse form
Property
Rec-STFT has similar properties with Fourier transform- Integration
- Shifting property
- Modulation property
- special input
- When
- When
- Linearity property
- Power integration property
- Energy sum property
Example of tradeoff with different B
From the image, when B is smaller, the time resolution is better. Otherwise, when B is larger, the frequency resolution is better.Advantage and disadvantage
Compared with the Fourier transform:Advantage: The instantaneous frequency can be observed.Disadvantage: Higher complexity of computation.Compared with other types of time-frequency analysis:Advantage: Least computation time for digital implementation.Disadvantage: Quality is worse than other types of time-frequency analysis. The jump discontinuity of the edges of the rectangular mask results in Gibbs ringing artifacts in the frequency domain, which can be alleviated with smoother windows.