刊名:Chemometrics and Intelligent Laboratory Systems
出版年:2017
出版时间:15 January 2017
年:2017
卷:160
期:Complete
页码:40-51
全文大小:1951 K
卷排序:160
文摘
The approaches for generation of multivariate data are reviewed and compared. The problem of multivariate data generation from random covariance matrices is analyzed. A new algorithm for multivariate data generation from random covariance matrices is proposed and made available. The algorithm is illustrated in problems of interest for the research community.