The application study of wavelet packet transformation in the de-noising of dynamic EEG data
Source abstract
Abstract
Abstract This paper briefly describes the basic principle of wavelet packet analysis, and on this basis introduces the general principle of wavelet packet transformation for signal den-noising. The dynamic EEG data under +Gz acceleration is made a de-noising treatment by using wavelet packet transformation, and the de-noising effects with different thresholds are made a comparison. The study verifies the validity and application value of wavelet packet threshold method for the de-noising of dynamic EEG data under +Gz acceleration.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Image and Signal Denoising Methods · Blind Source Separation Techniques · Advanced Algorithms and Applications
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Affiliations
Institute of Aviation Medicine, Air Force, Beijing 100142, China
References
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