DocumentCode :
1727179
Title :
Design of graph filter in ill-posed condition using Tikhonov regularization
Author :
Chien-Cheng Tseng ; Su-Ling Lee
Author_Institution :
Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
fYear :
2015
Firstpage :
406
Lastpage :
407
Abstract :
In this paper, the design of graph filter in ill-posed condition using Tikhonov regularization method is presented. First, the design problem of graph filter is described. Then, the Tikhonov regularization method is used to determine the filter coefficients. Because the explicit solution is obtained, it is easily computed and used in the applications. Finally, a numerical example for graph filter design of Markov chain data is illustrated to show the effectiveness of the proposed method.
Keywords :
Monte Carlo methods; filtering theory; graph theory; Markov chain data; Tikhonov regularization method; graph filter design; ill-posed condition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/ICCE-TW.2015.7216968
Filename :
7216968
Link To Document :
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