Deterministic initialisation principle for normalised subband adaptive filtering Online publication date: Mon, 06-Aug-2018
by B. Samuyelu; P. Rajesh Kumar
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 11, No. 4, 2018
Abstract: The conventional paradigm of system identification utilises prior information on system structures and environments and input/output observation data to explain the designs of systems. Large improvement and research on its methods, algorithms, theoretical foundation, applications and verifications over the past half century have introduced a mature field with a rich literature and substantial benchmark significances. However, rapid improvements in technology, engineering, science and social media has ushered in a new period of systems science and control in which limitations and opportunities are abundant for system identification. In this sense, system identification remains an exciting, young, viable, and critical field that mandates new paradigms to meet such challenges. In this paper, the proposed D-MVS-SNSAF offers improvement in the system identification by initialising the weight factor, which is obtained by taking the number of transitions in the input/output characteristics of the system, through the polynomial model.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Signal and Imaging Systems Engineering (IJSISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook