Referenced Items are not available for this document.
Estimation of time varying systems can be done by representing the whole system behaviour in terms of some fixed basis sequences. Available solutions use computationally expensive nonrecursive solutions. We derive an RLS solution for the wavelet based expansion of time varying systems. This method has been applied to speech signals and its performance is studied. A recursive lattice algorithm is derived for the above modeling. Also the performance of the method using both the Haar and Daubechies bases is studied.
Published in:
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
(Volume:6
)
Date of Conference: 6-10 April 2003
- Page(s):
- VI - 309-12 vol.6
- ISSN :
- 1520-6149
- Print ISBN:
- 0-7803-7663-3
- INSPEC Accession Number:
- 7816442
- Digital Object Identifier :
- 10.1109/ICASSP.2003.1201680
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
