In this paper we propose a method to estimate and transform harmonic components in wide-band conditions, out of a single period of the analyzed signal. This method allows estimating harmonic parameters with higher temporal resolution than typical Short Time Fourier Transform (STFT) based methods. We also discuss transformations and synthesis strategies in such context, focusing on the human voice.

In applications wide band noises are observed by autocovariance functions. At the same time there are infinitely many wide band noises having the same autocovariance function. Each of these wide band noises creates its own best estimate and optimal control. Therefore, it is practically important to obtain filtering and control results which depend on autocovariance function and independent on r...