A short-time Fourier transform
F. J. Owens,M. S. Murray +1 more
TLDR
A method for computing the short-time Fourier transform of a discrete-time signal by convolving it with one of a family of infinite-duration windows h(nT)=(nT)ke−αnT, k integer which greatly alleviates the problem of spectral leakage which is inherent in the more traditional DFT method.About:
This article is published in Signal Processing.The article was published on 1988-01-03 and is currently open access. It has received 35 citations till now. The article focuses on the topics: Fractional Fourier transform & Short-time Fourier transform.read more
Figures
![Fig. 2 Block diagram for the Digital Pattern Playback (FFT-based algorithm) [7,8].](/figures/fig-2-block-diagram-for-the-digital-pattern-playback-fft-3rwlfdxl.png)
Fig. 2 Block diagram for the Digital Pattern Playback (FFT-based algorithm) [7,8]. ![Fig. 1 Block diagram for the Digital Pattern Playback (AM-based algorithm) [7,8].](/figures/fig-1-block-diagram-for-the-digital-pattern-playback-am-kwwvfmh6.png)
Fig. 1 Block diagram for the Digital Pattern Playback (AM-based algorithm) [7,8]. ![Fig. 3 Spectrograms of an utterance “arayuru yasai-o kaikonda”: (a) original signal, (b) simplified version of (a), and (c) reconstructed signal using the FFT method from (b) [8].](/figures/fig-3-spectrograms-of-an-utterance-arayuru-yasai-o-kaikonda-1jhzxqdd.png)
Fig. 3 Spectrograms of an utterance “arayuru yasai-o kaikonda”: (a) original signal, (b) simplified version of (a), and (c) reconstructed signal using the FFT method from (b) [8].
![Fig. 2 Block diagram for the Digital Pattern Playback (FFT-based algorithm) [7,8].](/figures/fig-2-block-diagram-for-the-digital-pattern-playback-fft-3rwlfdxl.webp)
![Fig. 1 Block diagram for the Digital Pattern Playback (AM-based algorithm) [7,8].](/figures/fig-1-block-diagram-for-the-digital-pattern-playback-am-kwwvfmh6.webp)
![Fig. 3 Spectrograms of an utterance “arayuru yasai-o kaikonda”: (a) original signal, (b) simplified version of (a), and (c) reconstructed signal using the FFT method from (b) [8].](/figures/fig-3-spectrograms-of-an-utterance-arayuru-yasai-o-kaikonda-1jhzxqdd.webp)
Citations
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Journal ArticleDOI
Alcohol use disorder detection using EEG Signal features and flexible analytical wavelet transform
Arti Anuragi,Dilip Singh Sisodia +1 more
TL;DR: Flexible analytical wavelets transform (FAWT) based machine learning models are proposed for automated alcoholism detection and suggest that LS-SVM using polynomial kernel performed best with accuracy 99.17%, Sensitivity as 99.44% using 10-fold cross-validation technique.
Journal ArticleDOI
Subband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments
TL;DR: This paper introduces subband likelihood-maximizing beamforming (S-LIMABEAM), a new microphone-array processing algorithm specifically designed for speech recognition applications and creates a subband filtering architecture that explicitly accounts for the manner in which recognition features are computed.
Journal ArticleDOI
Estimation of wavelet and short-time Fourier transform sonograms of normal and diabetic subjects' electrogastrogram.
TL;DR: The results showed that WT sonograms can be used to classify patients successfully as healthy or sick and that the WT method can help improve the quality of the sonogram of the EGG signals.
Journal ArticleDOI
Spectral analysis of ground penetrating radar signals in concrete, metallic and plastic targets
Vinícius Rafael Neris dos Santos,Waleed Al-Nuaimy,Jorge Luís Porsani,Nina S. T. Hirata,Hamzah S. AlZu'bi +4 more
TL;DR: In this paper, the spectral features which were selected to check the interaction of the electromagnetic wave with the type of material are: the power spectral density (PSD), short-time Fourier transform (STFT), and the Wigner-Ville distribution (WVD).
Journal ArticleDOI
Diagnosis and Classification of Diesel Engine Components Faults Using Time–Frequency and Machine Learning Approach
TL;DR: In this article, the authors presented potential fault diagnosis techniques to detect and diagnose the scuffing faults developed on the diesel engine components using condition monitoring techniques such as vibration and acoustic emission analyses.
References
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Book
Speech Analysis, Synthesis and Perception
TL;DR: A second edition was begun in 1970, the aim was to retain the original format, but to expand the content, especially in the areas of digital communications and com puter techniques for speech signal processing.
Journal ArticleDOI
Models for approximating basilar membrane displacement
TL;DR: In this paper, three analytical models are developed for estimating the displacement of the basilar membrane in the human ear when the sound pressure at the eardrum is known, and the results are applied to the perception of pitch.
Journal ArticleDOI
Models for approximating basilar membrane displacement — Part II. Effects of middle-ear transmission and some relations between subjective and physiological behavior
TL;DR: In this paper, the second half of results of a study on the peripheral ear were presented, where the authors derived computational models for approximating the mechanical displacement of the basilar membrane when the sound pressure at the eardrum is known.