Peak Identification of Communication Signal Using Wavelet Packet Transform

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 6
⁰
/
₀₀
when signal-noise-ratio (SNR) is higher than 5 dB. Furthermore, our method is superior to those of conventional methods based on derivatives.