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Simultaneously improving the efficiency and compression of the adaptive cross approximation algorithm
Heldring, Alexander; Úbeda Farré, Eduard; Rius Casals, Juan Manuel
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. ANTENNALAB - Grup d´Antenes i Sistemes Radio
This paper proposes an adaptation of the conventional ACA algorithm for block-wise impedance matrix compression, yielding a substantial speed-up as well as a higher compression rate. The recently published stochastic Frobenius norm estimation is complemented with a new approach to allow applying it to blocks that represent touching regions. The stochastic method is then combined with SVD recompression to simultaneously eliminate the stochastic uncertainty and optimize the compression rate.
Peer Reviewed
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi matemàtica::Aproximacions i expansions
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
Approximation theory
Electromagnetism
Approximation theory
Singular value decomposition
Aproximació, Teoria de l'
Electromagnetisme
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Institute of Electrical and Electronics Engineers (IEEE)
         

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