wavelet packet-based independent component analysis (Zhongxing Telecommunication Equipment)
90
Structured Review
Zhongxing Telecommunication Equipment
wavelet packet-based independent component analysis
Wavelet Packet Based Independent Component Analysis, supplied by Zhongxing Telecommunication Equipment, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/wavelet+packet-based+independent+component+analysis/wavelet+packet+based+independent+component+analysis/pm22464489-11-18-30
Average 90 stars, based on 1 article reviews
Wavelet Packet Based Independent Component Analysis, supplied by Zhongxing Telecommunication Equipment, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/wavelet+packet-based+independent+component+analysis/wavelet+packet+based+independent+component+analysis/pm22464489-11-18-30
Average 90 stars, based on 1 article reviews
wavelet packet-based independent component analysis - by Bioz Stars,
2026-09
90/100 stars
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Related Articles
Extraction:Article Title: Wavelet packet-based independent component analysis for feature extraction from motor imagery EEG of complex movements. Article Snippet: Objective: The main goal of this study was to develop a novel spatial filtering method for better extracting the feature information underlying the event-related de-synchronisation and synchronisation (ERD/ERS) during complex motor imagery of lower limb action.. Methods: The algorithm used a wavelet packet-based independent component analysis (WPICA) method to extract the ERD/ERS patterns in different frequency bands.. Time–frequency decomposition in the wavelet packet domain was designed to avoid the statistical correlation between different electroencephalographic (EEG) rhythms. |