DocumentCode
3436603
Title
Adaptive multirate signal estimation with lattice orthogonalization
Author
Tanc, Ahmet Korhan ; Eksioglu, Ender Mete ; Kayran, Ahmet Hamdi
Author_Institution
Fac. of Electr. & Electron. Eng., Istanbul Tech. Univ., Istanbul, Turkey
fYear
2009
fDate
13-16 Dec. 2009
Firstpage
117
Lastpage
119
Abstract
In this paper, we address the signal estimation problem in statistical multirate systems. We propose an adaptive least squares lattice filter which is sequential and periodically time varying (PTV) with the multirate system period. Furthermore, we consider the elimination of redundant mathematical operations due to sequential processing of multirate observations. Experimental results show that our multirate lattice filter is fast convergent and it has lower order computational complexity when compared with the transversal structure.
Keywords
computational complexity; least squares approximations; signal processing; time-varying filters; adaptive least squares lattice filter; adaptive multirate signal estimation; computational complexity; lattice orthogonalization; multirate signal processing methods; periodically time varying filters; sequential processing; statistical multirate systems; Adaptive filters; Computational complexity; Estimation; Finite impulse response filter; Lattices; Least squares methods; Nonlinear filters; Sensor systems; Signal processing; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits, and Systems, 2009. ICECS 2009. 16th IEEE International Conference on
Conference_Location
Yasmine Hammamet
Print_ISBN
978-1-4244-5090-9
Electronic_ISBN
978-1-4244-5091-6
Type
conf
DOI
10.1109/ICECS.2009.5410937
Filename
5410937
Link To Document