Peak Identification of Communication Signal Using Wavelet Packet Transform

Author

Yuan Jia ; Tian Pengwu ; Yu Hongyi

Author_Institution

Dept. of Commun. Eng., PLA I. E. Univ., Zhengzhou

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

This paper presents a novel method for peak identification of communication signal. Using wavelet packet transform (WPT), the feature points of peak on frequency domain can be detected efficiently. The simulation results have shown that the normalized mean estimation error (NMME) of feature point position is less than 6⁰/₀₀ when signal-noise-ratio (SNR) is higher than 5 dB. Furthermore, our method is superior to those of conventional methods based on derivatives.

Keywords

identification; mean square error methods; signal detection; wavelet transforms; communication signal; feature point position; frequency domain; normalized mean estimation error; peak identification; signal detection; signal-noise-ratio; wavelet packet transform; Cities and towns; Computer vision; Discrete wavelet transforms; Frequency domain analysis; Packaging; Programmable logic arrays; Signal analysis; Signal processing; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.449

Filename

4678358