Title :
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
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;
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
DOI :
10.1109/WiCom.2008.449
