BIOLOGICAL SIGNAL ANALYSIS BY INDEPENDENT COMPONENT ANALYSIS USING COMPLEX WAVELET TRANSFORM

DOI10.1142/S0219691310003663zbMath1193.94032OpenAlexW2027051721MaRDI QIDQ3587026

Satoshi Horihata, Hirosi Toda, Zhong Zhang, Takashi Imamura, Tetsuo Miyake, Yoshifumi Yasuda

Publication date: 2 September 2010

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691310003663

zbMATH Keywords

independent component analysiswavelet transformbiological signals

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60)

Related Items (5)

A fetal electrocardiogram signal extraction algorithm based on the temporal structure and the non-Gaussianity ⋮ Perfect-translation-invariant variable-density complex discrete wavelet transform ⋮ Practical design of perfect-translation-invariant real-valued discrete wavelet transform ⋮ Signal quantitative analysis using customizable perfect-translation-invariant complex wavelet functions ⋮ PERFECT-TRANSLATION-INVARIANT CUSTOMIZABLE COMPLEX DISCRETE WAVELET TRANSFORM

Cites Work

• Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors
• Blind separation of convolved mixtures in the frequency domain
• An approach to blind source separation based on temporal structure of speech signals

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