DocumentCode
2506304
Title
Filtering of stochastic signal sets: A new piecewise interpolation technique
Author
Torokhti, Anatoli
Author_Institution
CIAM, Univ. of South Australia, Mawson Lakes, SA, Australia
fYear
2011
fDate
28-30 June 2011
Firstpage
621
Lastpage
624
Abstract
A new non-linear filtering technique based on an extension of the device of piecewise linear function interpolation is developed. Using the same initial information as is usually used for the Wiener filter (samples of signals), our filter achieves any desired accuracy in signal estimation. The proposed technique provides a single filter to process any signal from an infinite signal set. The filter is determined in terms of pseudo-inverse matrices so that it always exists.
Keywords
Wiener filters; filtering theory; function approximation; interpolation; matrix algebra; piecewise linear techniques; stochastic processes; Wiener filter; nonlinear filtering technique; piecewise linear function interpolation technique; pseudoinverse matrix; signal estimation; stochastic signal set filtering technique; Accuracy; Computational modeling; Estimation; Filtering; Interpolation; Signal processing; Stochastic processes; Optimal filtering; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location
Nice
ISSN
pending
Print_ISBN
978-1-4577-0569-4
Type
conf
DOI
10.1109/SSP.2011.5967777
Filename
5967777
Link To Document