Fourth-order cumulant simplification calculation method based adaptive line enhancer

Author

Guo, Ye-Cai ; Yao, Shan-Hua ; Yin, Zhi-Xiang ; Han, Yin-Ge ; Rao, Wei

Author_Institution

Anhui Univ. of Sci. & Technol., Huainan, China

Volume

2

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

693

Abstract

The computational complexity of fourth-order cumulants (FOC) estimation of quasi-stationary random process is high and it is very difficult to apply the FOC to solve the actual problem. For improving the practicability of the FOC, the FOC simplification calculation method is proposed based on its direct estimation formula and the relation between FOC recursive estimation and its computational complexity. The FOC simplification calculation based adaptive line enhancer (FOCSCBALE) is established. The FOCSCBALE has low computational load and ability to suppress Gaussian noise. Simulation tests with the real data of underwater target and theory analysis have proven the validity of the FOC simplification calculation method and the FOCSCBALE.

Keywords

adaptive systems; computational complexity; higher order statistics; random processes; recursive estimation; FOC recursive estimation; Gaussian noise; adaptive line enhancer; computational complexity; fourth-order cumulant simplification calculation method; quasistationary random process; Computational complexity; Computational modeling; Equations; Gaussian noise; Line enhancers; Random processes; Recursive estimation; Signal processing; Statistics; Testing; Quasi-stationary random process; computational complexity; fourth order cumulants; simplification calculation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527033

Filename

1527033