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[Other resource] icalab DL : 0: ICALAB for Signal Processing Toolbox for BSS, ICA, cICA, ICA-R, SCA and MCA
Update : 2008-10-13 Size : 1.2mb Publisher : 张强
[matlab] icalab DL : 1: ICALAB for Signal Processing Toolbox for BSS, ICA, cICA, ICA-R, SCA and MCA
Update : 2025-02-17 Size : 1.2mb Publisher : 张强
[ActiveX/DCOM/ATL] ICA_with_Reference DL : 1: We present the technique of the ICA with Reference (ICA-R) to extract an interesting subset of independent sources from their linear mixtures when some a priori information of the sources are available in the form of rough templates (references). The constrained independent component analysis (cICA) is extended to incorporate the reference signals that carry some information of the sources as additional constraints into the ICA contrast function. A neural algorithm is then proposed using a Newton-like approach to obtain an optimal solution to the constrained optimization problem. Stability of the convergence and selection of parameters in the learning algorithm are analyzed. Experiments with synthetic signals and real fMRI data demonstrate the efficacy and accuracy of the proposed algorithm.
Update : 2025-02-17 Size : 381kb Publisher : ma ming
[assembly language] NMFLABIP_ver1.2 DL : 0: n this group, we have three different algorithms. They are able to process in sequential and simultaneous mode. More detail in choosing reference signals could be found in the Tips section. The extracted signals have available forms of references. It is necessary not to forget selecting references before running. The data of previous ICA algorithm is hold for the next ICA algorithm. Therefore, after testing one cICA or ICA-R algorithm, we don’t need to select reference signal again when change to another algorithm that also belongs to the same group.
Update : 2025-02-17 Size : 10.64mb Publisher : 王霞
[Mathimatics-Numerical algorithms] cICA DL : 1: cICA code for the constrained ICA algorithm
Update : 2025-02-17 Size : 654kb Publisher : 胡理
[matlab] CICA DL : 1: 还参考量独立分量分析(ICA-R)程序与文档-Also refers to the amount of independent component analysis (ICA-R) procedure and documentation
Update : 2025-02-17 Size : 990kb Publisher : 朱明
[Algorithm] plotbox DL : 0: cica is most usefule za shaa shaa algorithm. and it is hutsdag pizdanuud yum ahkak.
Update : 2025-02-17 Size : 1kb Publisher : huts