Estimation of biological signals by time-frequency methods

We address the problem of estimation of biological signal parameters and present methods based on the phase gradient of the short time Fourier transform which may be used to accurately estimate signal parameters. The methods are robust and are well suited to the analysis of non-stationary multicomponent signals. Specifically addressed are the problems of recovery of crisp narrow-band time-frequency representations from very small data sets, accurate estimation of speech formants, blind recovery of the group delay of the transmission channel and equalization of time-frequency representations.