Results 11 to 20 of about 8,515 (226)
Depthwise-STFT Based Separable Convolutional Neural Networks [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 In this paper, we propose a new convolutional layer called Depthwise-STFT Separable layer that can serve as an alternative to the standard depthwise separable convolutional layer. The construction of the proposed layer is inspired by the fact that the Fourier coefficients can accurately represent important features such as edges in an image.
Sudhakar Kumawat, Shanmuganathan Raman
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Generative Adversarial Network-Based Postfilter for STFT Spectrograms [PDF]
Interspeech 2017, 2017 We propose a learning-based postfilter to reconstruct the high-fidelity spectral texture in short-term Fourier transform (STFT) spectrograms. In speech-processing systems, such as speech synthesis, voice conversion, and speech enhancement, the STFT spectrograms have been widely used as key acoustic representations.
Kaneko, Takuhiro +3 more
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Incremental refinement of DFT and STFT approximations
IEEE Signal Processing Letters, 1995 We present a class of multistage algorithms for carrying out incremental refinement of DFT and STFT approximations. Each stage is designed to improve the previous stage's approximation in terms of frequency coverage, frequency resolution, and SNR. These algorithms rely almost exclusively on vector summation operations, and they can be designed to ...
Joseph M. Winograd, S. Hamid Nawab
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Micro-Doppler Clutter Removal Method Based on the Cancelation of Sliding STFT Spectrogram
Leida xuebao, 2022 Micro-motion clutter typically exhibits significant Doppler broadening, raises the noise floor, and annihilates weak targets, resulting in false alarms and missed detections.
Xianrong WAN +4 more
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Speech Enhancement in the STFT Domain
, 2012 This work addresses this problem in the short-time Fourier transform (STFT) domain. We divide the general problem into five basic categories depending on the number of microphones being used and whether the interframe or interband correlation is ...
Jacob Benesty +2 more
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Fingerprint Image Enhancement Using STFT Analysis
, 2005 Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is still an open problem. Extracting features out of poor quality prints is the most challenging problem faced in this area. This paper introduces a new approach for fingerprint enhancement based on Short Time Fourier Transform(STFT) Analysis. STFT
Sharat Chikkerur +2 more
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Non-Convex Phase Retrieval From STFT Measurements [PDF]
IEEE Transactions on Information Theory, 2018 The problem of recovering a one-dimensional signal from its Fourier transform magnitude, called Fourier phase retrieval, is ill-posed in most cases. We consider the closely-related problem of recovering a signal from its phaseless short-time Fourier transform (STFT) measurements.
Tamir Bendory +2 more
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STFT-based denoising of biomechanical impact signals
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010 We present an advanced denoising method for non-stationary biomechanical signals with the aim of accurately estimating their second derivative (acceleration). The proposed algorithm is based on the short-time Fourier transform (STFT) representation of the signal and its subsequent modification by means of a suitable time-varying filtering function. The
Hon, Tsz K. +2 more
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A unified approach to the STFT, TFDs, and instantaneous frequency [PDF]
IEEE Transactions on Signal Processing, 1992 Spectral analysis of time varying signals is traditionally performed with the short time Fourier transformation (STFT). In the last few years, many authors have advocated the use of time frequency distributions for this task. This paper has 2 main aims. The first is to reformulate Cohen-class of time frequency representations (TFRs) into discrete-time,
Peter J. Kootsookos +2 more
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Spaces of Test Functions via the STFT [PDF]
Journal of Function Spaces, 2004 We characterize several classes of test functions, among them Björck′s ultra‐rapidly decaying test functions and the Gelfand‐Shilov spaces of type S, in terms of the decay of their short‐time Fourier transform and in terms of their Gabor coefficients.
Karlheinz Gröchenig, Georg Zimmermann
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