Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ruth Onn"'
Publikováno v:
Linear Algebra and its Applications. 185:21-30
The hyperbolic singular value decomposition is defined on a general n × m matrix and an m × m signature matrix pair. It is employed in finding the eigenstructure of any matrix that is expressed as the difference of two matrix outer products. Such d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63d663a0cc937c56a8a86141daccf1c2
https://doi.org/10.1016/0024-3795(93)90202-y
https://doi.org/10.1016/0024-3795(93)90202-y
Autor:
Ruth Onn, Allan Steinhardt
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 7:103-116
The purpose of this paper is to elucidate the multi-window method for spectral estimation and sinusoid detection. The multi-window method, devised by D.J. Thomson, has many features that distinguish it from other spectrum estimation techniques. It ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afd6f5ed3dd3da6251a474963d8a4a5a
https://doi.org/10.1002/acs.4480070204
https://doi.org/10.1002/acs.4480070204
Publikováno v:
Proceedings of the 32nd Midwest Symposium on Circuits and Systems.
A new generalization of the singular value decomposition (SVD), the hyperbolic SVD, is advanced, and its existence is established under mild restrictions. The hyperbolic SVD accurately and efficiently finds the eigenstructure of any matrix that is ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed4d49a01fd29a6ebd3d05a79c7c8fc9
https://doi.org/10.1109/mwscas.1989.101919
https://doi.org/10.1109/mwscas.1989.101919
Autor:
Ruth Onn, Allan Steinhardt
Publikováno v:
SPIE Proceedings.
In many applications (radar, communication, plasma physics) the signal of interest is sinusoidal and is hidden in non-white noise. The multi-window method of spectrum estimation gives a constant false alarm test for the presence of a sinusoid in a ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40c1a40251a487cc91f87c8e53ecc4e9
https://doi.org/10.1117/12.49842
https://doi.org/10.1117/12.49842
Conference
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Conference
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