Abstract
In order to find the solution to the problems in collection and identification of the weak electrical signals in the physical environment, this paper, based on the analysis of the relevant principles, presents a denoising method using multilevel threshold based on the detailed coefficients of Daubechies wavelet transform through a deduction process of the method. This method uses the analysis of the minimum frequency components of signals to determine the maximum decomposition levels with the ability of extracting and processing the plant weak electrical signals. The simulation experiments show the method is effective in denoising, especially for the restoration of the weak electrical signals with high noise background, and it can be used in extracting and processing the weak electrical signals and is an effective method of detecting the signals.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
