Paper Info
Title
Separate/joint optimization of error feedback and realization for roundoff noise minimization in a class of 2-D state-space digital filters
Abstract
Techniques for the separate/joint optimization of error-feedback and realization are developed to minimize the roundoff noise subject to l 2-norm dynamic-range scaling constraints for a class of 2-D state-space digital filters. In the joint optimization, the problem at hand is converted into an unconstrained optimization problem by using linear-algebraic techniques. The unconstrained problem obtained is then solved by applying an efficient quasi-Newton algorithm. A numerical example is presented to illustrate the utility of the proposed techniques.
Year
DOI
Venue
2007
10.1007/s11045-007-0033-0
Multidimensional Systems and Signal Processing
Keywords
Field
DocType
2-d state-space digital filter,joint optimization,roundoff noise subject,efficient quasi-newton algorithm,proposed technique,linear-algebraic technique,unconstrained problem,2-d iir digital filters · fornasini-marchesini's second local state-space model · roundoff noise minimization · error feedback · coordinate transformation · separate/joint optimization · l2-scaling constraints · no overflow oscillations,numerical example,roundoff noise minimization,error feedback,l 2-norm dynamic-range,unconstrained optimization problem,2-D IIR digital filters,Fornasini–Marchesini’s second local state-space model,Roundoff noise minimization,Error feedback,Coordinate transformation,Separate/joint optimization,l 2-scaling constraints,No overflow oscillations
Coordinate system,Mathematical optimization,Digital filter,Error feedback,Control theory,State space digital filters,Minification,Scaling,Optimization problem,Mathematics,Roundoff noise
Journal
Volume
Issue
ISSN
18
4
0923-6082
Citations 
PageRank 
References 
2
0.41
3
Authors
3
Name
Order
Citations
PageRank
Takao Hinamoto115850.09
Toru Oumi241.24
Wu-Sheng Lu332949.40