Denoising Method Study on Automobile Engines Based on Wavelet Packet Transform
Wenzhi Yang
Abstract
Wenzhi Yang
Abstract
Using the theory of wavelet packet transform and its de-noising principle,de-noising of the signals of automobile engines was carried out and analyzed.And the signal characteristics were extracted effectively.Through the residual signal spectrum analysis and statistics analysis after de-noising,the characteristic frequency of the noise signal was obtained.Finally,through the computer simulation of several examples,the wavelet packet de-noising method was verified.The result shows that wavelet packet de-noising method is very effective.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Using the theory of wavelet packet transform and its de-noising principle,de-noising of the signals of automobile engines was carried out and analyzed.And the signal characteristics were extracted effectively.Through the residual signal spectrum analysis and statistics analysis after de-noising,the characteristic frequency of the noise signal was obtained.Finally,through the computer simulation of several examples,the wavelet packet de-noising method was verified.The result shows that wavelet packet de-noising method is very effective.
Key concepts: Wavelet packet decomposition, Wavelet, Second-generation wavelet transform, Discrete wavelet transform, Stationary wavelet transform, Wavelet transform, Network packet, Noise reduction