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Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
v1v2 (latest)

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology

29 August 2024
Kuan-Lin Chen
Bhaskar D. Rao
ArXiv (abs)PDFHTML

Papers citing "Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology"

10 / 10 papers shown
Title
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation
Kuan-Lin Chen
Bhaskar D. Rao
99
1
0
16 Mar 2025
A DNN based Normalized Time-frequency Weighted Criterion for Robust
  Wideband DoA Estimation
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation
Kuan-Lin Chen
Ching-Hua Lee
Bhaskar D. Rao
H. Garudadri
118
5
0
20 Feb 2023
Improved Bounds on Neural Complexity for Representing Piecewise Linear
  Functions
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen
H. Garudadri
Bhaskar D. Rao
73
20
0
13 Oct 2022
ResNEsts and DenseNEsts: Block-based DNN Models with Improved
  Representation Guarantees
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
Kuan-Lin Chen
Ching-Hua Lee
H. Garudadri
Bhaskar D. Rao
AI4TS
102
6
0
10 Nov 2021
Deep Networks for Direction-of-Arrival Estimation in Low SNR
Deep Networks for Direction-of-Arrival Estimation in Low SNR
G. Papageorgiou
M. Sellathurai
Yonina C. Eldar
70
194
0
17 Nov 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
646
42,833
0
03 Dec 2019
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
491
8,016
0
23 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
482
10,228
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.6K
195,176
0
10 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
535
18,688
0
06 Feb 2015
1