A novel algorithm of synthesizing 1/f-type fractal signal using computer based on ISWT

Author

Xiaolin, Sun ; Shuxu, Guo ; Zhenguo, Zhang ; Fengli, Gao ; Xiaohua, Qian

Author_Institution

State Key Lab. on Integrated Optoelectron., Jilin Univ., Changchun, China

Volume

2

fYear

2010

fDate

27-29 March 2010

Firstpage

455

Lastpage

458

Abstract

This paper proposes a novel algorithm of synthesizing 1/f-type fractal signal based on ISWT (inverse stationary wavelet transform). A group of Gaussian white noise as the wavelet transform coefficient of a certain scale is random produced utilizing computer. Calculate the wavelet transform coefficients of other different scales via appropriate transformation, and then the 1/f-type fractal signal can be obtained under ISWT. Simulation results show that the synthesized signal meets the characteristics of 1/f-type signal. This algorithm can be achieved under a variety of wavelets, and it is simple, effective and reliable, and also has a good general adaptability.

Keywords

AWGN; signal synthesis; wavelet transforms; 1/f-type fractal signal synthesis; Gaussian white noise; inverse stationary wavelet transform; Computational modeling; Fractals; Parameter estimation; Signal processing; Signal processing algorithms; Signal synthesis; Signal to noise ratio; Wavelet coefficients; Wavelet transforms; White noise; 1/f-type Fractal Signal; ISWT; computer simulation; correlation; signal Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5486637

Filename

5486637