Please use this identifier to cite or link to this item:
Title: Gradient flow approach to discrete-time envelope-constrained filter design via orthonormal filters
Authors: Tseng, CH
Teo, KL
Cantoni, A
Zang, Z
Issue Date: 2000
Publisher: The Institution of Engineering and Technology
Source: IEE proceedings. Vision, image, and signal processing, 2000, v. 147, no. 1, p. 79-88 How to cite?
Journal: IEE proceedings. Vision, image, and signal processing 
Abstract: Using digital orthonormal filters and Lagrangian duality theory, the envelope-constrained (EC) filtering problem has been formulated as a dual quadratic programming (QP) problem with simple constraints. Applying the barrier-gradient and barrier-Newton methods based on the space transformation and gradient flow technique, two efficient design algorithms are constructed for solving this QP problem. An adaptive algorithm, based on the barrier-gradient algorithm, is developed to solve the EC filtering problem in a stochastic environment. The convergence properties are established in the mean and mean square error senses. To demonstrate the effectiveness of the proposed algorithms, a practical example using the Laguerre networks is solved for both the deterministic and stochastic cases.
ISSN: 1350-245X
EISSN: 1359-7108
DOI: 10.1049/ip-vis:20000307
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.