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IEEE Transactions on Circuits and Systems II: Express Briefs, 2016
The inversion of the short-time Fourier transform (STFT) calculated with common windows is revisited. It has been shown that, using a commonly windowed STFT, a full signal reconstruction may be achieved from the same number of the STFT coefficients as the number of signal samples.
Ljubisa Stanković
exaly +2 more sources

Spectrum Representation Based on STFT

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020
A new spectrum representation method based on short time Fourier transform (STFT) is proposed. The formula of new spectrum representation is derived base on energy cumulant of short time Fourier transform (EC-STFT), which indicates that EC-STFT has the spectrum characteristics.
Xuebao Wang, Tao Ying, Wei Tian 0004
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STFT-based denoising of elastograms

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
In ultrasound elastography, axial strains of the examined tissue are calculated by the differentiation of the measured axial displacements. However, the results become obscured as high-frequency noise is amplified by the gradient operator. In this paper, we propose an advanced denoising method for axial displacements with the aim of accurately ...
Tsz-Kin Hon +3 more
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Recursive realization of the robust STFT

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
An efficient procedure is proposed for the realization of robust short-time fourier transform (STFT) based on the recursive realization of the standard STFT. In the initial stage it uses the robust STFT calculated by iterative or sorting procedures and, after that, the recursive relation is applied.
Igor Djurovic +3 more
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Exploiting local STFT properties

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
We consider the properties of the short time Fourier transform as a representation of the distribution of the analytic signal in time and frequency and use the properties of the surface to remap the surface and reconstruct the analytic representations of signal components.
Kathleen L. Gaston, Douglas J. Nelson
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STFT-based estimator of polynomial phase signals

Signal Processing, 2012
The short-time Fourier transform (STFT) based instantaneous frequency (IF) estimator has been used for polynomial phase signal (PPS) parameters estimation. This estimator is biased but it is less sensitive to the noise influence than the higher-order techniques such as the high-order ambiguity function (HAF).
Ljubisa Stanković, Igor Djurovic
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Fingerprint enhancement using STFT analysis

Pattern Recognition, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sharat Chikkerur +2 more
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An STFT-LSTM System for P-Wave Identification

IEEE Geoscience and Remote Sensing Letters, 2020
The identification of P-waves in data with substantial noises is essential in seismic phase recognition, which is the foundation of seismic localization and an essential part of automatic seismic monitoring and processing. We treat the identification of P-waves as a sequence classification problem and build a long short-term memory (LSTM) network to ...
Wei Zhu 0027 +4 more
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DOA estimation of LFM signals based on STFT and multiple invariance ESPRIT

AEU - International Journal of Electronics and Communications, 2017
In order to improve the angle measurement precision of LFM signals with a low computational complexity, a direction of arrival (DOA) estimation algorithm STFT-MI-ESPRIT is proposed in this paper.
Kaibo Cui, Jingjian Huang
exaly +2 more sources

The STFT in an Exponential Function Approximation

AIP Conference Proceedings, 2007
The paper proposed an original method for an exponential function linear approximation, based upon recently developed Special Trans Function Theory—STFT, Perovich S.M. (1992–2007). It moves the exponential function analysis from the classical MacLaurin's series and the field of numerical methods to the field of the STFT.
Slavica M. Perovich +4 more
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short-time fourier transform stft