Weighted least-squares design of variable recursive digital filters with guaranteed stability

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dc.contributor.authorDeng, Tian Bo
dc.contributor.authorChivapreecha, Sorawat
dc.contributor.authorDejhan, Kobchai
dc.date.accessioned2026-08-06T10:08:00Z
dc.date.available2026-08-06T10:08:00Z
dc.date.issued2013-12-31
dc.description.abstractThe stability guarantee is the most important issue in designing variable infinite-impulse-response (IIR) digital filters. This paper presents a new variable substitution method for transforming the denominator coefficients of a variable-IIR-filter into another set of variables such that arbitrary values of the new variables can guarantee the stability of the resulting variable-IIR-filter. That is, the design problem subject to stability guarantee (constrained non-linear design problem) is converted into an unconstrained design problem. As a consequence, the resulting variable-IIR-filters are always guaranteed theoretically. A lowpass variable-IIR-filter design example is given to illustrate the effectiveness of the design formulation. © 2013 IEEE.
dc.identifier.citation13th International Symposium on Communications and Information Technologies Communication and Information Technology for New Life Style Beyond the Cloud Iscit 2013, 360-363, 2013
dc.identifier.doi10.1109/ISCIT.2013.6645882
dc.identifier.other2-s2.0-84891093911
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5257
dc.source13th International Symposium on Communications and Information Technologies Communication and Information Technology for New Life Style Beyond the Cloud Iscit 2013
dc.titleWeighted least-squares design of variable recursive digital filters with guaranteed stability
dc.typeConference Paper

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