Title
Cyclostationary spectral analysis of subband adaptive filters
Abstract
This paper presents cyclostationary spectral analysis of subband adaptive filters. First, the convergent point of the LMS type algorithm is determined. Next, using the spectral theory of cyclostationary processes, the cyclic spectral density matrix of the error signal is derived. Finally, its averaged variance is calculated for typical value of the delay in the desired signal and is compared with the simulation result.
Year
Venue
Field
1996
EUSIPCO
Spectral theory,Matrix (mathematics),Algorithm,Speech recognition,Spectral density,Error signal,Adaptive filter,Spectral analysis,Mathematics,Cyclostationary process
DocType
ISBN
Citations 
Conference
978-888-6179-83-6
1
PageRank 
References 
Authors
0.44
0
2
Name
Order
Citations
PageRank
Hideaki Sakai126277.04
Hirayama, Noriyuki210.44