tailieunhanh - Master thesis Communications engineering: GMNS-based tensor decomposition

In this thesis, motivated by the advantages of the generalized minimumnoise subspace (GMNS) method, recently proposed for array processing, we proposedtwo algorithms for principal subspace analysis (PSA) and two algorithms for tensor de-composition using parallel factor analysis (PARAFAC) and higher-order singular valuedecomposition (HOSVD). | Master thesis Communications engineering GMNS-based tensor decomposition VIETNAM NATIONAL UNIVERISTY HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGY LE TRUNG THANH GMNS-BASED TENSOR DECOMPOSITION MASTER THESIS COMMUNICATIONS ENGINEERING Hanoi 11 2018 VIETNAM NATIONAL UNIVERISTY HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGY LE TRUNG THANH GMNS-BASED TENSOR DECOMPOSITION Program Communications Engineering Major Electronics and Communications Engineering Code MASTER THESIS COMMUNICATIONS ENGINEERING SUPERVISOR Assoc. Prof. NGUYEN LINH TRUNG Hanoi 11 2018 Authorship I hereby declare that the work contained in this thesis is of my own and has not been previously submitted for a degree or diploma at this or any other higher education institution. To the best of my knowledge and belief the thesis contains no materials previously or written by another person except where due reference or acknowledgement is made . Signature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i Supervisor s approval I hereby approve that the thesis in its current form is ready for committee exami- nation as a requirement for the Degree of Master in Electronics and Communications Engineering at the University of Engineering and Technology . Signature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii Acknowledgments This thesis would not have been possible without the guidance and the help of several individuals who contributed and extended their valuable assistance in the preparation and completion of this study. I am deeply thankful to my family who have been sacrificing their whole life for me and always supporting me throughout my education process. I would like to express my sincere gratitude to my supervisor Prof. Nguyen Linh Trung who introduced me to the interesting research problem of tensor analysis that combines multilinear algebra and