Title
Minimization Of Frequency-Weighted L(2)-Sensitivity Subject To L(2)-Scaling Constraints For Two-Dimensional State-Space Digital Filters
Abstract
This paper investigates the problem of frequency-weighted l(2)-sensitivity minimization subject to l(2)-scaling constraints for two-dimensional (2-D) state-space digital filters described by the Roesser model. It is shown that the Fornasini-Marchesini second model can be imbedded in the Roesser model. Two iterative methods are developed to solve the constrained. optimization problem encountered. The first iterative method introduces a Lagrange function and optimizes it using some matrix-theoretic techniques and an efficient bisection method. The second iterative method converts the problem into an unconstrained optimization formulation by using linear-algebraic techniques and solves it by applying an efficient quasi-Newton algorithm. The optimal filter structure with minimum frequency-weighted l(2)-sensitivity and no overflow is then synthesized by an appropriate coordinate transformation. Case studies are presented to demonstrate the validity and effectiveness of the proposed techniques.
Year
DOI
Venue
2008
10.1109/TSP.2008.929115
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Keywords
DocType
Volume
bisection method, Fornasini-Marchesini's second model, frequency-weighted l(2)-sensitivity minimization, Lagrange function, l(2)-scaling constraints, no overflow, quasi-Newton method, Roesser's model, 2-D digital filters
Journal
56
Issue
ISSN
Citations 
10
1053-587X
2
PageRank 
References 
Authors
0.50
5
4
Name
Order
Citations
PageRank
Takao Hinamoto115850.09
Toru Oumi241.24
Osemekhian I. Omoifo331.20
Wu-Sheng Lu429624.90