Direction of arrival estimation LFM signal is an essential task in radar, sonar, acoustics and biomedical. In this paper, a short time Fourier transform multi-step knowledge aided iterative generalized minimum residual (STFT-MS-KAI-GMRES) approach presented to amend the angle measurement signal. A three stage algorithm proposed. First, process initiated with formulating for carrier frequency ch...

In this paper, we consider single-channel speech enhancement in the short time Fourier transform (STFT) domain. We suggest to improve an STFT phase estimate by estimating the initial phases. The method is based on the harmonic model and a model for the phase evolution over time. The initial phases are estimated by setting up a least squares problem between the noisy phase and the model for phas...

Various time-frequency methods have been used to study time-varying properties of non-stationary neurophysiological signals. In the present study, a time-frequency coherence estimate using continuous wavelet transform (CWT) together with its confidence intervals are proposed to evaluate the correlation between two non-stationary processes. The approach is based on averaging over repeat trials. ...

In previous contributions [1, 2], we presented a fast algorithm for the reconstruction of a time-domain signal from a magnitude short-time Fourier transform (STFT) spectrogram, and showed experimentally that it could lead to substantial reduction in computation time compared to previous work by Griffin and Lim [3] when both algorithms are initialized using zero phase. We study here other strate...

Motivated by results of Dyatlov on Fourier uncertainty principles for Cantor sets and similar Knutsen joint time-frequency representations (i.e., the short-time transform (STFT) with a Gaussian window, equivalent to Fock spaces), we suggest general setting relating localization prove, within this context, an principle in Bergman spaces unit disk, where set is defined as union annuli that are eq...

A neighborhood-based source reassignment technique is proposed for being used on time-frequency masking audio source separation methods. This technique identifies all the time-frequency clusters that form the separation masks in the Short-Time Fourier Transform (STFT) domain, and labels each time-frequency bin with a value that denotes the size of their corresponding clusters. The bins correspo...

An accurate time-frequency representation (TFR) can provide useful information in non stationary data analysis and processing. The traditional methods like short-time Fourier transform (STFT) and wavelet transform (WT) based TFR approaches are leads to a tradeoff between time and frequency resolution. A recently proposed synchrosqueezing transform (SST), which is an extension of the WT, has bee...

Recently, a Monte Carlo approach was proposed for processing highly redundant continuous frames. In this paper, we present and analyze applications of new theory. The computational complexity the method relies on frame being so-called linear volume discretizable (LVD). LVD property means that number samples in coefficient space required by is proportional to resolution discrete signal. We show ...

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 consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FD-ICA), or time-frequency masking methods such as DUET. In these methods, the short-term Fourier transform (STFT) is used to transform the signal into the time-frequency domain. Instead of using a fixed time-frequency transform on each ...