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ICA2000_reprint.doc
- 具有带通选择性的ICA算法可以改善对于带通时间序列的分离以及对于周期性脑功能响应信号的提取. 因此本文提出的方案可将被估计信号, 如:周期性响应信号以及具有平滑空间分布的脑功能激活区, 的先验特性以特征选择的方式加入ICA算法用以提高对此类信号的估计-with selective ICA algorithm can be improved for the band pass time series, as well as for the separation of brain function
kongyu
- 空域相关滤波,一种很好的消噪方法,对信号的预处理有很好的效果-Spatial correlation filtering, a good de-noising method for signal pre-processing are very good results
matchingnetwork2009
- fingerprint recogition using spatial freq
CSP
- 共空间模式算法，是一种特征提取算法，保证数据间具有最大化的差异性-Feature extraction algorithm common spatial pattern, data having a guaranteed between maximizing differences
gs
- 该算法是最原始的GS算法，可实现利用频域已知振幅，空域已知振幅对空域相位的复原，另包含GS算法原始文献。(The algorithm is the original GS algorithm, which can be used to recover the spatial phase with the known amplitude in the frequency domain and the spatial domain, and include the original literat