On the basis of wavelet packet filtering method,a noise testing method for electric motor was proposed in this paper.

Wavelet packet filtering algorithm was used to eliminate the noise that is independent of the frequency of rotating and pick up the real vibration.

This paper discussed the concept of harmonic wavelet and general harmonic wavelet,and realized the harmonic wavelet packet algorithm.

For the purpose of finding the potentially critical fault in time and extracting the weak signal to prevent the unnecessary financial losses,so making use of the box-like spectrum and frequency-domain continuous distribution of harmonic wavelet,and the weak signal is extracted with harmonic wavelet packet transformation of simulation signal.

A study on the extraction and prediction of blasting seismic wavecharacteristics by wavelet packets technique;

Analysis of the oil pipeline leakage feature vector extraction based on wavelet packet;

Use of wavelet packet and principal composition analysis method for feature extraction of chatter in milling;

Selection on single-phase to ground fault line based on wavelet packets;

Digital watermarking algorithm based on chaotic encryption and wavelet packets;

A multi-focus image fusion approach with wavelet packets;

Study on ventilators faults warning based on wavelet package and neural network;

Seismic resolution improvement using wavelet package algorithm;

Sensor fault diagnosis based on wavelet package and LVQ network;