Sparse component decomposition (SCA) and its applications to EEG and fMRI XuPeng, Yao DeZhong, ChenHua Fu Schoolof life science and Technology, University of Electronic science and Technology of china
Sparse component decomposition (SCA) and its applications to EEG and fMRI XuPeng, YaoDeZhong, ChenHuaFu School of Life Science and Technology, University of Electronic Science and Technology of China
Contents What iS Sca? Approaches for SCa applications
Contents ➢ What is SCA? ➢ Approaches for SCA ➢ Applications
What is sca 口信号稀疏性的度量( Sparsity measurement) 信号的模 信号的模 信号分量或变换系数的下降率
What is SCA ❑信号稀疏性的度量（Sparsity measurement) ➢ 信号的 模 ➢ 信号的 模 ➢ 信号分量或变换系数的下降率 0 l p l
What is sca a When a signal satisfies the above three conditions this signal is said to be sparse or have sparse expression in the corresponding transformation domain
What is SCA ❑ When a signal satisfies the above three conditions, this signal is said to be sparse or have sparse expression in the corresponding transformation domain
What is SCa a Fundamental hypothesis for SCA there must be some transformation domain on which the signal expression is sparse(not strictly proved
What is SCA ❑ Fundamental hypothesis for SCA ➢ there must be some transformation domain on which the signal expression is sparse(not strictly proved)