Abstract
Advantages of time-series analysis are described and illustrated by the fast orthogonal search method. The method can be used to approximate biological time-series data by a parsimonious sinusoidal series model or representation. The component frequencies in this model need not be commensurate nor integral multiples of the fundamental frequency corresponding to the record length. The method achieves economy of representation by finding the most significant frequencies first. In simulations, the author shows that the method really copes with missing or unequally-spaced data, and is capable of five to eight time the frequency resolution of a conventional Fourier-series analysis. >
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.
