The generalized Backus-Gilbert inversion method for signal recovery in multiresolution spaces

Xiang Gen Xia; C. C. Jay Kuo; Zhen Zhang

doi:10.1109/ICASSP.1994.390043

The generalized Backus-Gilbert inversion method for signal recovery in multiresolution spaces

Xiang Gen Xia
, C. C. Jay Kuo
, Zhen Zhang

University of Southern California

科研成果: 期刊稿件 › 会议文章 › 同行评审

1 引用（Scopus）

摘要

The Backus-Gilbert (BG) method provides a signal recovery algorithm based on the moment information of a signal. In this work, we focus on a class of signals that can be well approximated with a multiresolution model, and propose a generalized BG method for signal recovery. A numerical experiment is given to demonstrate the performance of the generalized BG method.

源语言	英语
文章编号	390043
页（从-至）	III281-III284
期刊	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
卷	3
DOI	https://doi.org/10.1109/ICASSP.1994.390043
出版状态	已出版 - 1994
已对外发布	是
活动	Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) - Adelaide, Aust 期限: 19 4月 1994 → 22 4月 1994

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10.1109/ICASSP.1994.390043

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abstract = "The Backus-Gilbert (BG) method provides a signal recovery algorithm based on the moment information of a signal. In this work, we focus on a class of signals that can be well approximated with a multiresolution model, and propose a generalized BG method for signal recovery. A numerical experiment is given to demonstrate the performance of the generalized BG method.",

author = "Xia, \{Xiang Gen\} and \{Jay Kuo\}, \{C. C.\} and Zhen Zhang",

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AU - Xia, Xiang Gen

AU - Jay Kuo, C. C.

AU - Zhang, Zhen

PY - 1994

Y1 - 1994

N2 - The Backus-Gilbert (BG) method provides a signal recovery algorithm based on the moment information of a signal. In this work, we focus on a class of signals that can be well approximated with a multiresolution model, and propose a generalized BG method for signal recovery. A numerical experiment is given to demonstrate the performance of the generalized BG method.

AB - The Backus-Gilbert (BG) method provides a signal recovery algorithm based on the moment information of a signal. In this work, we focus on a class of signals that can be well approximated with a multiresolution model, and propose a generalized BG method for signal recovery. A numerical experiment is given to demonstrate the performance of the generalized BG method.

UR - https://www.scopus.com/pages/publications/77951463228

U2 - 10.1109/ICASSP.1994.390043

DO - 10.1109/ICASSP.1994.390043

M3 - Conference article

AN - SCOPUS:77951463228

SN - 0736-7791

VL - 3

SP - III281-III284

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

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T2 - Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6)

Y2 - 19 April 1994 through 22 April 1994

ER -

The generalized Backus-Gilbert inversion method for signal recovery in multiresolution spaces

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