Title
Optimized filterbank design for subband identification with oversampling
Abstract
We study the problem of filterbank design for the subband identification method in the oversampled case. We aim to design the filterbanks such that the coupling between adjacent subbands is minimized. This allows the subband model of the system to be diagonal, thus simplifying the complexity of identification. Solutions are given to two minimization criteria: the worst-input case and white input case
Year
DOI
Venue
2001
10.1109/ICASSP.2001.940621
ICASSP '01). 2001 IEEE International Conference
Keywords
Field
DocType
FIR filters,identification,minimisation,optimisation,signal sampling,adjacent subbands,coupling minimization,optimized filterbank design,oversampling,subband identification,white input minimization,worst input minimization
Diagonal,Coupling,Oversampling,Pattern recognition,Computer science,Filter bank,Algorithm,Speech recognition,Minification,Minimisation (psychology),Artificial intelligence,Finite impulse response
Conference
Volume
ISSN
ISBN
6
1520-6149
0-7803-7041-4
Citations 
PageRank 
References 
3
0.78
2
Authors
2
Name
Order
Citations
PageRank
Damián Marelli116419.58
Minyue Fu21878221.17