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second-order blind identification with stationary wavelet transform  (Swedish Orphan Biovitrum)

 
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    Swedish Orphan Biovitrum second-order blind identification with stationary wavelet transform
    Second Order Blind Identification With Stationary Wavelet Transform, supplied by Swedish Orphan Biovitrum, 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/second-order+blind+identification+with+stationary+wavelet+transform/second+order+blind+identification+with+stationary+wavelet+transform/10__1109_slash_tbme__2009__2021987-9-5-16
    Average 90 stars, based on 1 article reviews
    second-order blind identification with stationary wavelet transform - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Enhanced ${\mu }$ Rhythm Extraction Using Blind Source Separation and Wavelet Transform
    Article Snippet: The μ rhythm is an electroencephalogram (EEG) signal located at the central region of the brain that is frequently used for studies concerning motor activity.. Quite often, the EEG data are contaminated with artifacts and the application of blind source separation (BSS) alone is insufficient to extract the μ rhythm component.. We present a new two-stage approach to extract the μ rhythm component.



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    Swedish Orphan Biovitrum second-order blind identification with stationary wavelet transform
    Second Order Blind Identification With Stationary Wavelet Transform, supplied by Swedish Orphan Biovitrum, 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/second-order+blind+identification+with+stationary+wavelet+transform/second+order+blind+identification+with+stationary+wavelet+transform/10__1109_slash_tbme__2009__2021987-9-5-16
    Average 90 stars, based on 1 article reviews
    second-order blind identification with stationary wavelet transform - by Bioz Stars, 2026-09
    90/100 stars
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