IEEE Transactions on Signal Processing
Improving the readability of time-frequency and time-scalerepresentations by the reassignment method
IEEE Transactions on Signal Processing
On polynomial phase signals with time-varying amplitudes
IEEE Transactions on Signal Processing
Estimation of Frequency for AM/FM Models Using the Phase Vocoder Framework
IEEE Transactions on Signal Processing
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In this paper, we present a method to estimate the parameters of a generalized sinusoidal model. A generalized sinusoid x is defined as a polynomial in the log domain, with complex coefficients αi:x(t)=exp(Σiαiti, wherei= 0...Q. The method is based on the distribution derivative of the signal and operates in the transform domain. The method is very general and can use any linear transform such as the Fourier transform or the wavelet transform, or even combinations of linear transforms. Examples with the Fourier transform are given. The Fourier-based estimation methods are evaluated using synthetic signals and have performance very close to the theoretical bound.