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
GAMP(일반화된 근사 메시지 전달)가 분산 압축 감지(DCS)에 도입되어 혼합 지원 세트 모델에서 공동으로 희소 신호를 재구성합니다. 알려진 support-set을 갖는 GAMP 알고리즘이 제시되고 MPGAMP(Matching Pursuit Generalized Approximous Message Passing) 알고리즘이 수정됩니다. 그런 다음 공동 MPGAMP 알고리즘이라고 하는 새로운 공동 복구 알고리즘이 제안됩니다. 일치 추적의 지원 탐색 능력을 사용하여 신호 앙상블의 공동 공유 지원 세트를 설정하고 GAMP의 우수한 재구성 성능으로 지원 세트의 신호 진폭을 복구합니다. 수치 조사에 따르면 공동 MPGAMP 알고리즘은 공동 직교 매칭 추구, 공동 예측 직교 매칭 추구 및 일반 MPGAMP에 비해 DCS 재구성의 성능 향상을 제공합니다.
Jingjing SI
Yanshan University,the Hebei Key Laboratory of Information Transmission and Signal Processing
Yinbo CHENG
Ocean College of Hebei Agricultural University
Kai LIU
Yanshan University,the Hebei Key Laboratory of Information Transmission and Signal Processing
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
Jingjing SI, Yinbo CHENG, Kai LIU, "Distributed Compressed Sensing via Generalized Approximate Message Passing for Jointly Sparse Signals" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 4, pp. 702-707, April 2019, doi: 10.1587/transfun.E102.A.702.
Abstract: Generalized approximate message passing (GAMP) is introduced into distributed compressed sensing (DCS) to reconstruct jointly sparse signals under the mixed support-set model. A GAMP algorithm with known support-set is presented and the matching pursuit generalized approximate message passing (MPGAMP) algorithm is modified. Then, a new joint recovery algorithm, referred to as the joint MPGAMP algorithm, is proposed. It sets up the jointly shared support-set of the signal ensemble with the support exploration ability of matching pursuit and recovers the signals' amplitudes on the support-set with the good reconstruction performance of GAMP. Numerical investigation shows that the joint MPGAMP algorithm provides performance improvements in DCS reconstruction compared to joint orthogonal matching pursuit, joint look ahead orthogonal matching pursuit and regular MPGAMP.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.702/_p
부
@ARTICLE{e102-a_4_702,
author={Jingjing SI, Yinbo CHENG, Kai LIU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Distributed Compressed Sensing via Generalized Approximate Message Passing for Jointly Sparse Signals},
year={2019},
volume={E102-A},
number={4},
pages={702-707},
abstract={Generalized approximate message passing (GAMP) is introduced into distributed compressed sensing (DCS) to reconstruct jointly sparse signals under the mixed support-set model. A GAMP algorithm with known support-set is presented and the matching pursuit generalized approximate message passing (MPGAMP) algorithm is modified. Then, a new joint recovery algorithm, referred to as the joint MPGAMP algorithm, is proposed. It sets up the jointly shared support-set of the signal ensemble with the support exploration ability of matching pursuit and recovers the signals' amplitudes on the support-set with the good reconstruction performance of GAMP. Numerical investigation shows that the joint MPGAMP algorithm provides performance improvements in DCS reconstruction compared to joint orthogonal matching pursuit, joint look ahead orthogonal matching pursuit and regular MPGAMP.},
keywords={},
doi={10.1587/transfun.E102.A.702},
ISSN={1745-1337},
month={April},}
부
TY - JOUR
TI - Distributed Compressed Sensing via Generalized Approximate Message Passing for Jointly Sparse Signals
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 702
EP - 707
AU - Jingjing SI
AU - Yinbo CHENG
AU - Kai LIU
PY - 2019
DO - 10.1587/transfun.E102.A.702
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2019
AB - Generalized approximate message passing (GAMP) is introduced into distributed compressed sensing (DCS) to reconstruct jointly sparse signals under the mixed support-set model. A GAMP algorithm with known support-set is presented and the matching pursuit generalized approximate message passing (MPGAMP) algorithm is modified. Then, a new joint recovery algorithm, referred to as the joint MPGAMP algorithm, is proposed. It sets up the jointly shared support-set of the signal ensemble with the support exploration ability of matching pursuit and recovers the signals' amplitudes on the support-set with the good reconstruction performance of GAMP. Numerical investigation shows that the joint MPGAMP algorithm provides performance improvements in DCS reconstruction compared to joint orthogonal matching pursuit, joint look ahead orthogonal matching pursuit and regular MPGAMP.
ER -