The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja menunjukkan beberapa faedah penguraian berbilang unit dalam aplikasi analisis isyarat. Ia ditekankan bahawa penguraian isyarat masa diskret yang kompleks pada satu asas memberikan imej isyarat yang tidak lengkap dan dengan cara sedemikian berpotensi mengelirukan dalam aplikasi analisis isyarat. Ditunjukkan bahawa bank penapis hancur berbilang unit yang menguraikan isyarat yang dianalisis ke beberapa pangkalan ruang vektor yang diberikan boleh berfungsi sebagai alat yang memberikan maklumat yang lebih lengkap tentang isyarat dan pada masa yang sama bank penapis boleh menikmati polifasa yang cekap. pelaksanaan komponen bank penapis yang telah berkurangan secara maksimum, iaitu tidak berlebihan. Cerapan tentang penguraian isyarat berbilang kesatuan disediakan. Ia ditunjukkan bahawa perwakilan berbilang asas membawa kepada pengiraan yang cekap bagi perwakilan domain frekuensi bagi isyarat pada grid frekuensi padat tidak semestinya seragam. Ia juga menunjukkan bahawa perwakilan berbilang asas boleh berguna dalam pengesanan nada dalam pelaksanaan digital isyarat berbilang frekuensi, dan dalam penerima sistem kicauan. Bukti disediakan bahawa terdapat kemungkinan manfaat daripada perwakilan berbilang asas dalam aplikasi nyah hingar.
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Salinan
Pavol ZAVARSKY, Takeshi MYOKEN, Noriyoshi KAMBAYASHI, Shinji FUKUMA, Masahiro IWAHASHI, "A Multi-Unitary Decomposition of Discrete-Time Signals in Signal Analysis" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 1, pp. 109-120, January 2000, doi: .
Abstract: The paper shows some of benefits of multi-unitary decomposition in signal analysis applications. It is emphasized that decompositions of complex discrete-time signals onto a single basis provide an incomplete and in such way potentially misleading image of the signals in signal analysis applications. It is shown that the multi-unitary decimated filter banks which decompose the analyzed signal onto several bases of the given vector space can serve as a tool which provides a more complete information about the signal and at the same time the filter banks can enjoy efficient polyphase component implementation of maximally decimated, i. e. nonredundant, filter banks. An insight into the multi-unitary signal decomposition is provided. It is shown that the multiple-bases representation leads to an efficient computation of frequency domain representations of signals on a dense not necessarily uniform frequency grid. It is also shown that the multiple-bases representation can be useful in the detection of tones in digital implementations of multifrequency signaling, and in receivers of chirp systems. A proof is provided that there are possible benefits of the multiple-bases representations in de-noising applications.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_1_109/_p
Salinan
@ARTICLE{e83-a_1_109,
author={Pavol ZAVARSKY, Takeshi MYOKEN, Noriyoshi KAMBAYASHI, Shinji FUKUMA, Masahiro IWAHASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Multi-Unitary Decomposition of Discrete-Time Signals in Signal Analysis},
year={2000},
volume={E83-A},
number={1},
pages={109-120},
abstract={The paper shows some of benefits of multi-unitary decomposition in signal analysis applications. It is emphasized that decompositions of complex discrete-time signals onto a single basis provide an incomplete and in such way potentially misleading image of the signals in signal analysis applications. It is shown that the multi-unitary decimated filter banks which decompose the analyzed signal onto several bases of the given vector space can serve as a tool which provides a more complete information about the signal and at the same time the filter banks can enjoy efficient polyphase component implementation of maximally decimated, i. e. nonredundant, filter banks. An insight into the multi-unitary signal decomposition is provided. It is shown that the multiple-bases representation leads to an efficient computation of frequency domain representations of signals on a dense not necessarily uniform frequency grid. It is also shown that the multiple-bases representation can be useful in the detection of tones in digital implementations of multifrequency signaling, and in receivers of chirp systems. A proof is provided that there are possible benefits of the multiple-bases representations in de-noising applications.},
keywords={},
doi={},
ISSN={},
month={January},}
Salinan
TY - JOUR
TI - A Multi-Unitary Decomposition of Discrete-Time Signals in Signal Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 109
EP - 120
AU - Pavol ZAVARSKY
AU - Takeshi MYOKEN
AU - Noriyoshi KAMBAYASHI
AU - Shinji FUKUMA
AU - Masahiro IWAHASHI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2000
AB - The paper shows some of benefits of multi-unitary decomposition in signal analysis applications. It is emphasized that decompositions of complex discrete-time signals onto a single basis provide an incomplete and in such way potentially misleading image of the signals in signal analysis applications. It is shown that the multi-unitary decimated filter banks which decompose the analyzed signal onto several bases of the given vector space can serve as a tool which provides a more complete information about the signal and at the same time the filter banks can enjoy efficient polyphase component implementation of maximally decimated, i. e. nonredundant, filter banks. An insight into the multi-unitary signal decomposition is provided. It is shown that the multiple-bases representation leads to an efficient computation of frequency domain representations of signals on a dense not necessarily uniform frequency grid. It is also shown that the multiple-bases representation can be useful in the detection of tones in digital implementations of multifrequency signaling, and in receivers of chirp systems. A proof is provided that there are possible benefits of the multiple-bases representations in de-noising applications.
ER -