論文

査読有り 筆頭著者 責任著者 国際共著
2019年8月

Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry

IEEE TRANSACTIONS ON SIGNAL PROCESSING
  • Tohru Nitta
  • ,
  • Masaki Kobayashi
  • ,
  • Danilo P. Mandic

67
15
開始ページ
3985
終了ページ
3994
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/TSP.2019.2922151
出版者・発行元
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

We provide a rigorous account of the equivalence between the complex-valued widely linear estimation method and the quaternion involution widely linear estimation method with their vector-valued real linear estimation counterparts. This is achieved by an account of degrees of freedom and by providing matrix mappings between a complex variable and an isomorphic bivariate real vector, and a quaternion variable versus a quadri-variate real vector. Furthermore, we show that the parameters in the complex-valued linear estimation method, the complex-valued widely linear estimation method, the quaternion linear estimation method, the quaternion semi-widely linear estimation method, and the quaternion involution widely linear estimation method include distinct geometric structures imposed on complex numbers and quaternions, respectively, whereas the real-valued linear estimation methods do not exhibit any structure. This key difference explains, both in theoretical and practical terms, the advantage of estimation in division algebras (complex, quaternion) over their multivariate real vector counterparts. In addition, we discuss the computational complexities of the estimators of the hypercomplex widely linear estimation methods.

リンク情報
DOI
https://doi.org/10.1109/TSP.2019.2922151
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000474596900001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/TSP.2019.2922151
  • ISSN : 1053-587X
  • eISSN : 1941-0476
  • Web of Science ID : WOS:000474596900001

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