DocumentCode
2635695
Title
Some extensions of the monotonic signal estimation method
Author
Kobayashi, Osamu ; Wakasa, Yuji ; Tanaka, Kanya ; Akashi, Tauya
Author_Institution
Yamaguchi Univ., Yamaguchi
fYear
2007
fDate
17-20 Sept. 2007
Firstpage
56
Lastpage
59
Abstract
An estimation method of monotonic signals was proposed lately. This method is quite effective when a priori knowledge of monotonicity of the estimated signals can be used. However, the estimation method was presented only for the case where an estimated signal is scalar and the measured signal is supposed to be generated by an FIR model. This paper extends the estimation method to the cases of multiple signals and IIR models. Numerical examples are provided to illustrate the effectiveness of the extended method.
Keywords
estimation theory; signal processing; IIR model; monotonic signal estimation method; multiple signal; Estimation; Maximum likelihood estimation; convex optimization; monotonic signals;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE, 2007 Annual Conference
Conference_Location
Takamatsu
Print_ISBN
978-4-907764-27-2
Electronic_ISBN
978-4-907764-27-2
Type
conf
DOI
10.1109/SICE.2007.4420950
Filename
4420950
Link To Document