Paper Info
Title
Low complexity least-squares filter design for the correction of linear time-varying systems
Abstract
In this paper, a low complexity algorithm for the design of a time-varying correction filter of finite impulse response (FIR) type is presented. Using the obtained filter design to correct a preceding time-varying system, a correction performance in the least-squares sense can be ensured. The adaptation of the filter design requires a moderate computational complexity and is suitable for real-time applications. Thus, a correction of non-periodically time-varying systems can be achieved where design methods, which rely on computationally intensive operations, e.g. numerical integration, can not be applied. At the same time, its application is not limited to weakly time-varying systems as iterative solutions are, which can correct for weakly time-varying behavior by gradually reducing the induced signal error over multiple stages.
Year
DOI
Venue
2011
10.1109/ECCTD.2011.6043631
Circuit Theory and Design
Keywords
Field
DocType
FIR filters,computational complexity,iterative methods,least squares approximations,time-varying filters,computational complexity,finite impulse response filter,linear time-varying systems,low complexity least-squares filter design,time-varying correction filter
Root-raised-cosine filter,Digital filter,Control theory,Prototype filter,Computer science,Infinite impulse response,Kernel adaptive filter,Adaptive filter,Recursive least squares filter,Filter design
Conference
ISBN
Citations 
PageRank 
978-1-4577-0616-5
2
0.37
References 
Authors
12
2
Name
Order
Citations
PageRank
Michael Soudan1262.60
Christian Vogel236128.88