Abstract
A new family of wavelets derived from the Poisson distribution is introduced. The associated wavelet transform is closely related to the Poisson transform. The Poisson wavelet transform is characterized by the usual translation and scaling parameters and an additional discrete ordering index. In this paper, the Poisson transform is reviewed, the properties of the Poisson wavelet transform are developed, and two examples are provided to illustrate the utility of this transform for analyzing time delayed signals that are exponentially damped and for parameter identification.
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.
