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 :
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