An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform
2008 ◽
Vol 2008
◽
pp. 1-5
◽
Keyword(s):
The short-time Fourier transform (STFT) is a classical tool, used for characterizing the time varying signals. The limitation of the STFT is its fixed time-frequency resolution. Thus, an enhanced version of the STFT, which is based on the cross-level sampling, is devised. It can adapt the sampling frequency and the window function length by following the input signal local characteristics. Therefore, it provides an adaptive resolution time-frequency representation of the input signal. The computational complexity of the proposed STFT is deduced and compared to the classical one. The results show a significant gain of the computational efficiency and hence of the processing power.
2011 ◽
Vol 48-49
◽
pp. 555-560
◽
2011 ◽
Vol 214
◽
pp. 122-127
◽
2015 ◽
Vol 12
(03)
◽
pp. 1550021
◽
2016 ◽
Vol 2016
◽
pp. 1-13
◽
2021 ◽
2005 ◽
Vol 60
(5-6)
◽
pp. 681-697
Keyword(s):