Abstract

A time-scale representation of (acoustic) signals, motivated by the structure of the mammalian auditory system, is presented. Drawing from the theory of irregular sampling and frames, a theoretical framework is developed in which iterative algorithms for reconstruction are constructed. Numerical examples are included which illustrate the validity of such a representation for new and effective methods of data compression and noise suppression. >

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 call

Disclaimer: 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.