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...

In the next two lectures, we will continue to expand our toolbox for computing in frequency domain, by adding two important computational tools. The first, the Fast Fourier Transform (FFT) is a family of algorithms for efficiently computing the Discrete Fourier Transform. These algorithms are of great practical importance, as theymake it possible to perform frequency domain analysis of very lar...

Recently permutation multimedia ciphers were broken in a chosen-plaintext scenario. That attack models a very resourceful adversary which may not always be the case. To show insecurity of these ciphers, we present a cipher-text only attack on speech permutation ciphers. We show inherent redundancies of speech can pave the path for a successful cipher-text only attack. To that end, regularities ...

This paper investigate the circularity of Short Time Fourier Transform (STFT) coefficients noise only, and proposes a modified STFT such that all coefficients coming from white Gaussian noise are circular. In order to make use of the spectral kurtosis (SK) for a stop criterion, we consider the spectral kurtosis of circular random variables, and its link with the kurtosis of the real and imagina...

Time-varying spectra of non-stationary time-series commonly used are spectrograms from the Short-Time Fourier Transform (STFT). The most prominent limitation of the Fourier Transform is that of frequency resolution. To overcome the limitation the Wavelet Transform, Wigner-Ville Distribution and the Min-Norm subspace method have been applied for spectrum estimation of non-stationary signals caus...

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...