Abstract
The sampling distribution of coherence estimate between one random and one periodic signal was shown to follow a noncentral beta distribution. This result is useful in further investigations to obtain the moments of the estimate. The plots of the probability density function (pdf) also provide an indication of its bias and random variability. Alternative algorithms for expressing this distribution were developed based on central and noncentral F pdf. The latter is exact and the first, an approximation which was shown to be suitable in practical situations. The zero-coherence case was obtained as special case when the noncentrality parameter is zero.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
