NDLI: A framework for knowledge based spectrum analysis

Content Provider	IEEE Xplore Digital Library
Author	Kulubi, J. Van Biesen, L.
Copyright Year	1990
Description	Author affiliation: Vrije Univ., Brussels, Belgium (Kulubi, J.; Van Biesen, L.)
Abstract	A general framework for the development of a knowledge-based spectrum analysis system is presented. The knowledge available for rating different methods is limited by the trend in literature of comparing a new spectrum analysis method with the best of the competing methods. The authors have offset this problem by comparing all the methods within a class of spectrum estimators on the same performance index. The use of the repertory grid allows the spectrum analysis knowledge to be validated and can be used to limit the search space when a spectrum analysis technique fails by utilizing the similarities among different methods. The additive clustering model, being nonhierarchical, is shown to be well suited for establishing the similarities among different spectrum analysis methods within a specific class. An extension of the method to operate directly on the ratings in the repertory grid is provided. Strategy is used as a basis of the development of the inference engine in this work. In general, the use of strategy improves the quality of the designed knowledge-based system by providing an environment in which a limitless number of methods and data validation methods can be incorporated. Considering that the designed knowledge-based system can be used to study the spectrum analysis strategy, such a system can be used to conduct spectrum analysis methodological research.
Starting Page	160
Ending Page	172
File Size	1105569
Page Count	13
File Format	PDF
DOI	10.1109/IMTC.1990.65990
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-02-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectral analysis Knowledge based systems Autoregressive processes Statistical analysis Testing Artificial intelligence Discrete Fourier transforms Frequency Maximum likelihood estimation Iterative methods
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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