As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
A comparative evaluation has been made among some methods of power spectrum density estimation, suited to non stationary time series. The evaluation has been performed on artificial and on real data which were obtained during autonomic tests. The study has documented the superiority of the estimation based on time-frequency joint distributions, particularly when a sharp time resolution is required for the analysis of the cardiovascular system variability. The problem of the rejection of cross terms artefacts has been considered as well, by implementing several techniques.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.