Aims of voice transformation are to change styles of given utterances. Most voice transformation methods process speech signals in a time-frequency domain. In the time domain, when processing spectral information, conventional methods do not consider relations between neighboring frames. If unexpected modifications happen, there are discontinuities between frames, which lead to the degradation ...

In this paper, a fully polarimetric time-frequency analysis method is introduced to decompose synthesized polarimetric and interferometric SAR images into range-frequency and azimuth-frequency domain. This 4-D representation permits to characterize the frequency response of the scene reflectivity, observed under different azimuth look-angles. A statistical analysis of polarimetric parameters pe...

The nonstationary nature of signals and nonlinear systems require the time-frequency representation. In time-domain signal, frequency information is derived from the phase of the Gabor’s analytic signal which is practically obtained by the inverse Fourier transform. This study presents time-frequency analysis by the Fourier transform which maps the time-domain signal into the frequency-domain. ...

Time-frequency analysis plays a significant role in seismic data processing and interpretation. Complete ensemble empirical mode decomposition decomposes a seismic signal into a sum of oscillatory components, with guaranteed positive and smoothly varying instantaneous frequencies. Analysis on synthetic and real data demonstrates that this method promises higher spectral-spatial resolution than ...

in this paper some new applications of empirical mode decomposition (emd) and hilbert spectrum in seismic ground-roll attenuation, random noise attenuation and spectral decomposition are introduced. hilbert spectrum is a time-frequency representation for hilbert-huang transform which is obtained by combination of instantaneous frequency (if) concept and intrinsic mode function of empirical mode...

In this paper, we characterize all analytic signals with band-limited amplitudes and polynomial phases. We show that a signal with band-limited amplitude and polynomial phase is analytic if and only if it has nonneg-ative constant instantaneous frequency, i.e., the derivative of the phase is a nonnegative constant, and the constant is greater than or equal to the minimum bandwidth of the amplit...