We propose a new pipeline for the Short-Time Fourier Transform (STFT) of harmonic signals based on adapting the analysis window size to the period of the harmonic signal. Pitch estimation is used to find $f_0$, and resampling ensures a window size as close as possible to a period which reduces spectral leakage almost to zero. The result is a highly accurate spectral representation with location...

We propose a new pipeline for the Short-Time Fourier Transform (STFT) of harmonic signals based on adapting the analysis window size to the period of the harmonic signal. Pitch estimation is used to find $f_0$, and resampling ensures a window size as close as possible to a period which reduces spectral leakage almost to zero. The result is a highly accurate spectral representation with location...

We propose a new pipeline for the Short-Time Fourier Transform (STFT) of harmonic signals based on adapting the analysis window size to the period of the harmonic signal. Pitch estimation is used to find $f_0$, and resampling ensures a window size as close as possible to a period which reduces spectral leakage almost to zero. The result is a highly accurate spectral representation with location...

We propose a new pipeline for the Short-Time Fourier Transform (STFT) of harmonic signals based on adapting the analysis window size to the period of the harmonic signal. Pitch estimation is used to find $f_0$, and resampling ensures a window size as close as possible to a period which reduces spectral leakage almost to zero. The result is a highly accurate spectral representation with location...

We propose a new pipeline for the Short-Time Fourier Transform (STFT) of harmonic signals based on adapting the analysis window size to the period of the harmonic signal. Pitch estimation is used to find $f_0$, and resampling ensures a window size as close as possible to a period which reduces spectral leakage almost to zero. The result is a highly accurate spectral representation with location...

We propose a new pipeline for the Short-Time Fourier Transform (STFT) of harmonic signals based on adapting the analysis window size to the period of the harmonic signal. Pitch estimation is used to find $f_0$, and resampling ensures a window size as close as possible to a period which reduces spectral leakage almost to zero. The result is a highly accurate spectral representation with location...

We address the problem of recovering a signal (up to global phase) from its short-time Fourier transform (STFT) magnitude measurements. This problem arises in several applications, including optical imaging and speech processing. In this paper we suggest three interrelated algorithms. The first algorithm estimates the signal efficiently from noisy measurements by solving a simple least-squares ...

seismic attribute is a quantitative measure of an interested seismic characteristic. there are several seismic attributes. in recent years, time-frequency (tf) attributes have been developed which to reach them, tf analyzing of seismic data is required. a high resolution tf representation (tfr) can yield more accurate tf attributes. there are several tfr methods including short-time fourier tra...

As many acoustic signal processing methods, for example for source separation or noise canceling, operate in the magnitude spectrogram domain, the problem of reconstructing a perceptually good sounding signal from a modified magnitude spectrogram, and more generally to understand what makes a spectrogram consistent, is very important. In this article, we derive the constraints which a set of co...