Multi-window Gabor expansion for evolutionary spectral analysis
Signal Processing - Special issue on acoustic echo and noise control
A new subclass of complex-valued S-transform windows
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
A window width optimized S-transform
EURASIP Journal on Advances in Signal Processing
Time--frequency and time--time filtering with the S-transform and TT-transform
Digital Signal Processing
Localization of the complex spectrum: the S transform
IEEE Transactions on Signal Processing
Comments on “The Inverse S-Transform in Filters With Time-Frequency Localization”
IEEE Transactions on Signal Processing
Authors' Reply to Comments on “The Inverse S-Transform in Filters With Time-Frequency Localization”
IEEE Transactions on Signal Processing
The S-Transform and Its Inverses: Side Effects of Discretizing and Filtering
IEEE Transactions on Signal Processing
The -Transform From a Wavelet Point of View
IEEE Transactions on Signal Processing - Part I
The inverse S-transform in filters with time-frequency localization
IEEE Transactions on Signal Processing
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The S transform, which is one of the time-frequency transforms, has been shown to be useful in time frequency analysis and many signal processing applications. The discrete counterpart of the S transform (DST) can be implemented in both the time and the frequency domains, i.e., the Time DST and the Freq DST. However, previous studies found that the conventional Time DST and the conventional Freq DST are not consistent, which may result in unreliable time-frequency information. In this paper, a new DST that adopts the folded window is proposed to eliminate the side effects of discretizing. The consistence of the time and the frequency versions is an important property of the continuous S transform and the proposed DST inherits this property. The proposed folded window can also be applied to the DST whose window is not a Gaussian function and the short-time Fourier transform.