PARAFAC
PARAFAC，即平行因子分析，是一种强大的多维数据分析工具，在信号处理、化学计量学及图像识别等领域展现出了卓越的应用价值。通过分解复杂数据集为更简单的成分，PARAFAC能够帮助工程师们深入理解系统内部结构与特性，实现高效的数据压缩与特征提取。掌握PARAFAC技术不仅能够提升您在电子工程领域的研...
PARAFAC 热门资料
查看全部 6 份 →PARAFAC Based Blind Estimation Of Possibly Under-determined Convolutive MIMO Systems
PARAFAC Based Blind Estimation Of Possibly Under-determined Convolutive MIMO Systems...
基于PARAFAC模型的新型DS-CDMA盲接收机
根据平行因子（PARAFAC）模型，研究DS-CDMA盲多用户检测算法。将直接三线性分解算法（DTLD）与三线性交替最小二乘（TALS）算法结合，提出一种新的DTALS-PARAFAC盲接收机，解决了三线性交替最小二乘（TALS）算法中因为...
The function conload takes a dataset and a model (PCA, PLS, PARAFAC etc.) and calculates congruence
The function conload takes a dataset and a model (PCA, PLS, PARAFAC etc.) and calculates congruence loadings which is th...
Tucker, PARAFAC, GRAM, RAFA and misc. 2nd order models with a test data set (old version now covered
Tucker, PARAFAC, GRAM, RAFA and misc. 2nd order models with a test data set (old version now covered by the N-way Toolbo...