Spectro-temporal modulations (STMs) of the sound convey timbre and rhythm information so that they are intuitively useful for automatic music genre classification. The STMs are usually extracted from a time-frequency representation of the acoustic signal. In this paper, we investigate the efficacy of two kinds of STM features, the Gabor features and the rate-scale (RS) features, selectively ext...

The subject matter presented in this paper deals with application of the short time Fourier transform (STFT) in processing the acoustic emission (AE) pulses generated by six basic forms of partial discharges (PDs) that can occur in insulation systems of power appliances. The paper presents the time-frequency analysis results of the AE pulses generated by the following spark gaps modeling the fo...

Typical speech enhancement algorithms that operate in the Fourier domain only modify the magnitude component. It is commonly understood that the phase component is perceptually unimportant, and thus, it is passed directly to the output. In recent intelligibility experiments, it has been reported that the Short-Time Fourier Transform (STFT) phase spectrum can provide significant intelligibility ...

We demonstrate the usefulness of some signalprocessing tools for the EISCAT data analysis. These tools are somewhat less classical than the familiar periodogram, squared modulus of the Fourier transform, and therefore not as commonly used in our community. The first is a stationary analysis, ‘‘Thomson’s estimate’’ of the power spectrum. The other two belong to time-frequency analysis: the short...

The short-time Fourier transform (STFT) provides the foundation of binary-mask based audio source separation approaches. In computing a spectrogram, the STFT window size parameterizes the trade-off between time and frequency resolution. However, it is not yet known how this parameter affects the operation of the binary mask in terms of separation quality for real-world signals such as speech or...

Weak suction and large vibrations indicate an Induced Draft Fan (IDF) problem. The Fast Fourier Transform (FFT) method cannot be applied to non-stationary vibration signals. Therefore, this study aims analyze signals for IDF at start-up so that the source of damage can found. research process begins with a brief measurement both bearing locations horizontal axial axes. Processing signal from us...

We introduce the use of DCTNet, an efficient approximation and alternative to PCANet, for acoustic signal classification. In PCANet, the eigenfunctions of the local sample covariance matrix (PCA) are used as filterbanks for convolution and feature extraction. When the eigenfunctions are well approximated by the Discrete Cosine Transform (DCT) functions, each layer of of PCANet and DCTNet is ess...