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Source Localization and Sensing: A Nonparametric Iterative Adaptive Approach Based on Weighted Least Squares
2010
IEEE Transactions on Aerospace and Electronic Systems
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.: SOURCE LOCALIZATION AND SENSING: A NONPARAMETRIC ITERATIVE ADAPTIVE APPROACH
Control, the Department of Information Technology at UU. ...
The array processing problem has been carried into the sparse signal representation area by noticing that the number of actual sources is usually much smaller TABLE I Notation used in the Text k ¢ k 0` ...
His research interests include statistical signal processing, sensor array processing, aeroacoustic measurements, and sparse signal representations. ...
doi:10.1109/taes.2010.5417172
fatcat:lwmwpjr33vbwblx64vkzafwmjq
A sparse signal reconstruction perspective for source localization with sensor arrays
2005
IEEE Transactions on Signal Processing
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in our approach. ...
We present a source localization method based on a sparse representation of sensor measurements with an overcomplete basis composed of samples from the array manifold. ...
CONCLUSION In this paper, we explored a formulation of the sensor array source localization problem in a sparse signal representation framework. ...
doi:10.1109/tsp.2005.850882
fatcat:ph6wqkoucrbv3aum2p5jmxx7gq
Table of Contents
2021
IEEE Transactions on Signal Processing
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Cai, and D. Bi Optimization Methods for Signal Processing Adaptive Superresolution in Deconvolution of Sparse Peaks . ...
Zhang Distributed Algorithms for Array Signal Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..P.-C.Chen and P. P. ...
doi:10.1109/tsp.2021.3136800
fatcat:zhf46mb3rbdlnnh3u2xizgxof4
2019 Index IEEE Transactions on Signal Processing Vol. 67
2019
IEEE Transactions on Signal Processing
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Miao, H.,
+, TSP June 15, 2019 3181-3196
Frame-Based Sparse Analysis and Synthesis Signal Representations and Par-
seval K-SVD. ...
., +, TSP Jan. 1, 2019 54-69 Representation and Reconstruction of Finite-Energy Band-Limited Signals via Pulse-Width Modulation. ...
M
Machine bearings Quickest Change Detection in the Presence of a Nuisance Change. Lau, T.S., +, TSP Oct. 15 ...
doi:10.1109/tsp.2020.2968163
fatcat:dvvpqntb2rc2bjed5nnk4xora4
Table of Contents
2021
IEEE Transactions on Signal Processing
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Lai Blind Direction-of-Arrival Estimation in Acoustic Vector-Sensor Arrays via Tensor Decomposition and Kullback-Leibler Cheng Adaptive Radar Detection and Classification Algorithms for Multiple Coherent ...
Meir and T. Routtenberg Adaptive Sparse Array Beamformer Design by Regularized Complementary Antenna Switching . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tsp.2021.3136798
fatcat:kzkdhzcz3fgx3jv6gfjofooseq
2010 Index IEEE Transactions on Signal Processing Vol. 58
2010
IEEE Transactions on Signal Processing
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., +, TSP Jan. 2010 67-83
Robust Adaptive Beamforming in Partly Calibrated Sparse Sensor Arrays. ...
Zhang, Y., +, TSP March 2010 1668-1676
Nested Arrays: A Novel Approach to Array Processing With Enhanced De-
grees of Freedom. ...
Global Positioning System A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation. ...
doi:10.1109/tsp.2010.2092533
fatcat:4y66ezuo7zf6doe6nwjqwtc42i
2021 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 29
2021
IEEE/ACM Transactions on Audio Speech and Language Processing
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
Koyama, S., +, TASLP 2021 3052-3063 Adaptive signal processing Listening Enhancement in Noisy Environments: Solutions in Time and Fre-quency Domain. ...
doi:10.1109/taslp.2022.3147096
fatcat:7nl52k7sjfalbhpxtum3y5nmje
2021 Index IEEE Transactions on Signal Processing Vol. 69
2021
IEEE Transactions on Signal Processing
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
., +, TSP 2021 4544-4555 Adaptive signal detection Adaptive Radar Detection in Low-Rank Heterogeneous Clutter via Invari-ance Theory. ...
doi:10.1109/tsp.2022.3162899
fatcat:kcubj566gzb4zkj7xb5r5we3ri
A Unified Approach to Sparse Signal Processing
[article]
2009
arXiv
pre-print
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The key applications of sparse signal processing are sampling, coding, spectral estimation, array processing, component analysis, and multipath channel estimation. ...
A unified view of sparse signal processing is presented in tutorial form by bringing together various fields. ...
Sparse Dictionary Representation (SDR) and Signal Modeling A signal x ∈ R n may be sparse in a given basis but not sparse in a different basis. ...
arXiv:0902.1853v1
fatcat:lxd3crtgd5fl5ofshryzm5pkfi
Experiment Design Regularization-Based Hardware/Software Codesign for Real-Time Enhanced Imaging in Uncertain Remote Sensing Environment
2010
EURASIP Journal on Advances in Signal Processing
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The hardware design is performed via systolic array computing based on a Xilinx Field Programmable Gate Array (FPGA) XC4VSX35-10ff668 and is aimed at implementing the unified DEDR-POCS image enhancement ...
A new aggregated Hardware/Software (HW/SW) codesign approach to optimization of the digital signal processing techniques for enhanced imaging with real-world uncertain remote sensing (RS) data based on ...
the signal processing and RS communities. ...
doi:10.1155/2010/254040
fatcat:mh5nrwu5evcqtmttioeyloh7ni
Dynamic Experiment Design Regularization Approach to Adaptive Imaging with Array Radar/SAR Sensor Systems
2011
Sensors
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We consider a problem of high-resolution array radar/SAR imaging formalized in terms of a nonlinear ill-posed inverse problem of nonparametric estimation of the power spatial spectrum pattern (SSP) of ...
We also show how the proposed DYED regularization method may be considered as a generalization of the MVDR, APES and other high-resolution nonparametric adaptive radar sensing techniques. ...
via its modification adapted to the distributed RS scene (not composed of sparse multiple point-type targets as originated in [24] ). ...
doi:10.3390/s110504483
pmid:22163859
pmcid:PMC3231377
fatcat:7tibe7zz6zgg3domkvry5swqxm
2021 Index IEEE Signal Processing Letters Vol. 28
2021
IEEE Signal Processing Letters
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
., +, LSP 2021 384-388 Feature extraction 3D Shape Estimation With an Enhanced Sparse Representation Approach. ...
doi:10.1109/lsp.2022.3145253
fatcat:a3xqvok75vgepcckwnhh2mty74
A unified approach to sparse signal processing
2012
EURASIP Journal on Advances in Signal Processing
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The key application domains of sparse signal processing are sampling, coding, spectral estimation, array processing, component analysis, and multipath channel estimation. ...
The common potential benefits of significant reduction in sampling rate and processing manipulations through sparse signal processing are revealed. ...
Holm from University of Oslo who contributed a section in sparse array design, M. Nouri Moghadam, the director of the Newton Foundation, H. Saeedi from University of Massachusetts, and K. ...
doi:10.1186/preaccept-1686979482577015
fatcat:7zjru2zjpne3rceluc5empoanq
A unified approach to sparse signal processing
2012
EURASIP Journal on Advances in Signal Processing
Preserved Fulltext
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The file type is application/pdf.
The key application domains of sparse signal processing are sampling, coding, spectral estimation, array processing, component analysis, and multipath channel estimation. ...
The common potential benefits of significant reduction in sampling rate and processing manipulations through sparse signal processing are revealed. ...
Holm from University of Oslo who contributed a section in sparse array design, M. Nouri Moghadam, the director of the Newton Foundation, H. Saeedi from University of Massachusetts, and K. ...
doi:10.1186/1687-6180-2012-44
fatcat:sbby5qh65bh5jd57i567br7el4
Table of Contents
2021
IEEE Signal Processing Letters
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Afs ¸er Point Cloud Resampling via Hypergraph Signal Processing . . . . . . . . . . . . . . . . . . . . . . . . . . Q. Deng, S. Zhang, and Z. ...
Chou, and R. L. de Queiroz Optimal Sparse Sampling for Detection of a Known Signal in Nonwhite Gaussian Noise . . . . . . . K. Adhikari and S. ...
doi:10.1109/lsp.2021.3134549
fatcat:m6obtl7k7zdqvd62eo3c4tptfy
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