Matched Detection in Union of Low-rank Subspaces

被引：0

作者：

Joneidi, M. ^{[1
]}

Sadeghi, M. ^{[1
]}

Ahmadi, P. ^{[1
]}

Golestani, H. B. ^{[1
]}

Ghanbari, M. ^{[1
]}

机构：

[1] Inst Res Fundamental Sci IPM, Tehran, Iran

来源：

2014 7TH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST) | 2014年

关键词：

Union of subspaces model; sparse representation; signal detection; dictionary learning;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a new detection approach based on sparse decomposition in terms of a union of learned subspaces is presented. It uses a dictionary that can be interpreted as a bank of matched subspaces. This improves the performance of signal detection, as it is a generalization for detectors and also exploits sparsity in its decision rule. The proposed detector shows a new trade-off for designing a suitable detector. We demonstrate he high efficiency of our method in the case of voice activity detection in speech processing.

引用

下载

页码：371 / 374

页数：4

共 50 条

[1] Union of low-rank subspaces detector
Joneidi, Mohsen
Ahmadi, Parvin
Sadeghi, Mostafa
Rahnavard, Nazanin
IET SIGNAL PROCESSING, 2016, 10 (01) : 55 - 62
[2] Low-Rank Subspaces in GANs
Zhu, Jiapeng
Feng, Ruili
Shen, Yujun
Zhao, Deli
Zha, Zheng-Jun
Zhou, Jingren
Chen, Qifeng
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
[3] Fundamental conditions on the sampling pattern for union of low-rank subspaces retrieval
Morteza Ashraphijuo
Xiaodong Wang
Annals of Mathematics and Artificial Intelligence, 2019, 87 : 373 - 393
[4] Fundamental conditions on the sampling pattern for union of low-rank subspaces retrieval
Ashraphijuo, Morteza
Wang, Xiaodong
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2019, 87 (04) : 373 - 393
[5] Clustering a union of low-rank subspaces of different dimensions with missing data
Ashraphijuo, Morteza
Wang, Xiaodong
PATTERN RECOGNITION LETTERS, 2019, 120 : 31 - 35
[6] Representing Sentences as Low-Rank Subspaces
Mu, Jiaqi
Bhat, Suma
Viswanath, Pramod
PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2, 2017, : 629 - 634
[7] Structured alternating minimization for union of nested low-rank subspaces data completion
Ashraphijuo M.
Wang X.
IEEE Journal on Selected Areas in Information Theory, 2020, 1 (03): : 632 - 644
[8] Low-Rank Subspaces for Unsupervised Entity Linking
Arora, Akhil
Garcia-Duran, Alberto
West, Robert
2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021), 2021, : 8037 - 8054
[9] Local reconstruction of low-rank matrices and subspaces
David, Roee
Goldenberg, Elazar
Krauthgamer, Robert
RANDOM STRUCTURES & ALGORITHMS, 2017, 51 (04) : 607 - 630
[10] A Supervised Low-rank Method for Learning Invariant Subspaces
Siyahjani, Farzad
Almohsen, Ranya
Sabri, Sinan
Doretto, Gianfranco
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2015, : 4220 - 4228

← 1 2 3 4 5 →