Filters








1,352 Hits in 4.7 sec

MAP Support Detection for Greedy Sparse Signal Recovery Algorithms in Compressive Sensing

Namyoon Lee
<span title="2016-10-01">2016</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gkn2pu46ozb4tmkxczacnmtvkq" style="color: black;">IEEE Transactions on Signal Processing</a> </i> &nbsp;
A reliable support detection is essential for a greedy algorithm to reconstruct a sparse signal accurately from compressed and noisy measurements.  ...  This paper proposes a novel support detection method for greedy algorithms, which is referred to as "maximum a posteriori (MAP) support detection".  ...  CONCLUSION We have presented a new support detection technique based on a MAP criterion for greedy sparse signal recovery algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsp.2016.2580527">doi:10.1109/tsp.2016.2580527</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4acykk5gsrdlllszjcfarpcbpu">fatcat:4acykk5gsrdlllszjcfarpcbpu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191023001738/https://arxiv.org/pdf/1508.00964v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/15/cc/15cc760a24290d1651c0edefcf3eaf18fa716d8f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsp.2016.2580527"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

CHAOTIC COMPRESSIVE SENSING OF TV –UHF BAND IN IRAQ USING CHEBYSHEV GRAM SCHMIDT SENSING MATRIX

Hadeel S. Abed, Hikmat N. Abdullah
<span title="2021-12-15">2021</span> <i title="College of Information Engineering - Al-Nahrain University"> Iraqi Journal of Information and Communications Technology </i> &nbsp;
In decoding stage the recovery algorithm is applied to reconstruct a sparse signal. İn this paper a new chaotic matrix is proposed based on Chebyshev map and modified gram Schmidt (MGS).  ...  The CS based proposed matrix is applied for sensing real TV signal as a PU. The proposed system is tested under two types of recovery algorithms.  ...  The greedy iterative algorithm searches the support of the sparse signal.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31987/ijict.1.1.152">doi:10.31987/ijict.1.1.152</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gtzitt4hpvacnb2bf4fxvkw4hq">fatcat:gtzitt4hpvacnb2bf4fxvkw4hq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211230132306/https://www.ijict.edu.iq/index.php/ijict/article/download/152/78" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/aa/1c/aa1cbef271f1309a65797f6636f9919a950c5c85.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31987/ijict.1.1.152"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Distributed Compressive Sensing Technique for Data Gathering in Wireless Sensor Networks

Alireza Masoum, Nirvana Meratnia, Paul J.M. Havinga
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cx3f4s3qmfe6bg4qvuy2cxezyu" style="color: black;">Procedia Computer Science</a> </i> &nbsp;
The strength of compressive sensing is its ability to reconstruct sparse or compressible signals from small number of measurements without requiring any a priori knowledge about the signal structure.  ...  Compressive sensing is a new technique utilized for energy efficient data gathering in wireless sensor networks. It is characterized by its simple encoding and complex decoding.  ...  For this purpose, greedy and linear programming are the most common recovery algorithms utilized in WSNs [4] [5] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2013.09.028">doi:10.1016/j.procs.2013.09.028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dzst6s6lbba45gmwplqlgpmdqe">fatcat:dzst6s6lbba45gmwplqlgpmdqe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723062104/https://ris.utwente.nl/ws/files/5340909/1-s2.0-S1877050913008211-main.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b6/d7/b6d770ba66fa109db10ab61c6d789e0169be7ae6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2013.09.028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

A Novel Sparse Data Reconstruction Algorithm for Dynamically Detect and Adjust Signal Sparsity

Dongxue Lu, Zengke Wang
<span title="2021-06-25">2021</span> <i title="North Atlantic University Union (NAUN)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pozhhqfrgbdn7cv2fsvqjd7gva" style="color: black;">North atlantic university union: International Journal of Circuits, Systems and Signal Processing</a> </i> &nbsp;
The proposed algorithm falls into the general category of greedy algorithms.  ...  In the process of iteration, this method can adjust the step size and correct the indices of the estimated support that were erroneously selected in a dynamical way.  ...  Funding: The research is supported by the National Nature Science Foundation of China (No. 61771262). Conflicts of interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.46300/9106.2021.15.61">doi:10.46300/9106.2021.15.61</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mqwc2dyujza6rpmxttj7bd2tmy">fatcat:mqwc2dyujza6rpmxttj7bd2tmy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210626071504/https://www.naun.org/main/NAUN/circuitssystemssignal/2021/b242005-061(2021).pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ce/e0/cee0e0d172e97be2a7777963cbdc68c9b0d6bc37.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.46300/9106.2021.15.61"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Application of Compressive Sensing Techniques in Distributed Sensor Networks: A Survey [article]

Thakshila Wimalajeewa, Pramod K. Varshney
<span title="2019-01-19">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
reconstruction in centralized as well in decentralized settings, (ii) solve a variety of inference problems such as detection, classification and parameter estimation, with compressed data without signal  ...  In particular, we emphasize on the significance of extending the CS framework to (i). take communication constraints into account while designing projection matrices and reconstruction algorithms for signal  ...  To reduce computational complexity of sparse signal recovery, greedy and iterative algorithms as discussed below have been proposed. • Greedy and iterative algorithms: Greedy/iterative algorithms aim to  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.10401v2">arXiv:1709.10401v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fnk6vwwykvc5radcgrl22g42hu">fatcat:fnk6vwwykvc5radcgrl22g42hu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191012231634/https://arxiv.org/pdf/1709.10401v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/ea/deeaf4a6cd4016b5f2e1e6ccf3cb18a5cfaa9470.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.10401v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Survey on Spectrum Sensing and Learning Technologies for 6G

Zihang SONG, Yue GAO, Rahim TAFAZOLLI
<span title="2021-10-01">2021</span> <i title="Institute of Electronics, Information and Communications Engineers (IEICE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4dhg4rk2rzdyfllkpx64b2rq6a" style="color: black;">IEICE transactions on communications</a> </i> &nbsp;
The sub-sampling framework and recovery algorithms based on compressed sensing theory and their hardware implementation are discussed under the trend of high channel bandwidth and large capacity to be  ...  This paper also investigates and summarizes the recent progress in machine learning for spectrum sensing technology.  ...  Acknowledgments The work in this paper was supported by the Engineering and Physical Sciences Research Council in United Kingdom, under the Grant EP/R00711X/2.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transcom.2020dsi0002">doi:10.1587/transcom.2020dsi0002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3bdimxhyerb63oghyk4vepdmde">fatcat:3bdimxhyerb63oghyk4vepdmde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220519201158/https://www.jstage.jst.go.jp/article/transcom/E104.B/10/E104.B_2020DSI0002/_pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/b7/2db73f60e48a9ebda65a86a79822ba88a64fba6f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1587/transcom.2020dsi0002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Coded Compressive Sensing: A Compute-and-Recover Approach [article]

Namyoon Lee, Song-Nam Hong
<span title="2016-01-26">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Considering 1-bit compressive sensing as a special case, we show that the proposed algorithm empirically outperforms an existing greedy recovery algorithm.  ...  In this paper, we propose coded compressive sensing that recovers an n-dimensional integer sparse signal vector from a noisy and quantized measurement vector whose dimension m is far-fewer than n.  ...  Greedy sparse signal recovery algorithms [3] - [6] became popular due to the computational efficiency in implementing these algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1601.06899v1">arXiv:1601.06899v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/45ybsvmfjjbq5p3v22doffy5lm">fatcat:45ybsvmfjjbq5p3v22doffy5lm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200907164237/https://arxiv.org/pdf/1601.06899v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d8/c8/d8c8d7ee225eac43375907172a920ae0b7178be4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1601.06899v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Info-Greedy Sequential Adaptive Compressed Sensing

Gabor Braun, Sebastian Pokutta, Yao Xie
<span title="">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aznf273kcvcbfjcdeghr3xjd6i" style="color: black;">IEEE Journal on Selected Topics in Signal Processing</a> </i> &nbsp;
We show that the widely used bisection approach is Info-Greedy for a family of -sparse signals by connecting compressed sensing and blackbox complexity of sequential query algorithms, and present Info-Greedy  ...  algorithms for Gaussian and Gaussian mixture model (GMM) signals, as well as ways to design sparse Info-Greedy measurements.  ...  Two central and interrelated problems in compressed sensing include signal recovery and designing the sensing matrix .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstsp.2015.2400428">doi:10.1109/jstsp.2015.2400428</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j4jir3sty5cihf7542eitazzu4">fatcat:j4jir3sty5cihf7542eitazzu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829110115/http://www2.isye.gatech.edu/~yxie77/infoGreedy.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/22/8d/228d102499ce5f2e4bff62bcef6db31208cc90b3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstsp.2015.2400428"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Info-greedy sequential adaptive compressed sensing

Gabor Braun, Sebastian Pokutta, Yao Xie
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/76cqjdra2zg5rgo2v5aqxsklkq" style="color: black;">2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)</a> </i> &nbsp;
We show that the widely used bisection approach is Info-Greedy for a family of -sparse signals by connecting compressed sensing and blackbox complexity of sequential query algorithms, and present Info-Greedy  ...  algorithms for Gaussian and Gaussian mixture model (GMM) signals, as well as ways to design sparse Info-Greedy measurements.  ...  Two central and interrelated problems in compressed sensing include signal recovery and designing the sensing matrix .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/allerton.2014.7028544">doi:10.1109/allerton.2014.7028544</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/allerton/BraunPX14.html">dblp:conf/allerton/BraunPX14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wb46pf5epzg2zlezfly773kmai">fatcat:wb46pf5epzg2zlezfly773kmai</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829110115/http://www2.isye.gatech.edu/~yxie77/infoGreedy.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/22/8d/228d102499ce5f2e4bff62bcef6db31208cc90b3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/allerton.2014.7028544"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks

Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, Aawatif Hayar
<span title="2021-03-07">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nzoj5rayr5hutlurimhzyjlory" style="color: black;">Symmetry</a> </i> &nbsp;
For cognitive radio networks (CRNs), this mechanism aims at detecting the spectrum holes based on few measurements taken from the original sparse signal.  ...  For the recovery process, unlike the convex and greedy algorithms, Bayesian models are fast, require less measurement, and deal with uncertainty.  ...  For the signal recovery process, they commonly use convex or greedy algorithms with more complexity and do not deal with uncertainty in measurements.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym13030429">doi:10.3390/sym13030429</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bdo5bnzcs5eg3a3b7pa3sq64fy">fatcat:bdo5bnzcs5eg3a3b7pa3sq64fy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210313025621/https://res.mdpi.com/d_attachment/symmetry/symmetry-13-00429/article_deploy/symmetry-13-00429-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9b/9b/9b9b7a993974c6c39e5b2299e5aec0e2e8e263c5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym13030429"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Environmental monitoring via compressive sensing

Shulin Yan, Chao Wu, Wei Dai, Moustafa Ghanem, Yike Guo
<span title="">2012</span> <i title="ACM Press"> Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data - SensorKDD &#39;12 </i> &nbsp;
In this report, we propose a novel environmental monitoring technique, called compressive sensing based monitoring, which employs only a small number of sensors to monitor target environmental signals  ...  The compressive sensing technique is applied to implement our signal construction framework such that a high resolution environmental signal can be accurately reconstructed with undersampling measurements  ...  Greedy Algorithm Greedy algorithms are another approach for solving sparse approximation problems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2350182.2350189">doi:10.1145/2350182.2350189</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/72c6psxjczcbjljw4ehduee3ie">fatcat:72c6psxjczcbjljw4ehduee3ie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810153113/http://wan.poly.edu/KDD2012/forms/workshop/SensorKDD12/doc/Paper7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/65/50/6550b5e592132aaa8a884d6c6ef22d34e68394d2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2350182.2350189"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Greedy Sparse Signal Recovery Algorithm Based on Bit-wise MAP detection [article]

J. Chae, S.-N. Hong
<span title="2019-10-28">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a novel greedy algorithm for the support recovery of a sparse signal from a small number of noisy measurements.  ...  This is optimal in the sense of detecting one of the remaining support indices, provided that all the detected indices in the previous iterations are correct.  ...  In this paper, we propose a novel greedy algorithm for the support recovery of a sparse signal.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.12512v1">arXiv:1910.12512v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4qvb32zas5bd7eoozzt5zzc3za">fatcat:4qvb32zas5bd7eoozzt5zzc3za</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200904030216/https://arxiv.org/pdf/1910.12512v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/50/ce/50cedd5d821c346ef8b0d57baa1233bbf4586db0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.12512v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

LAMP: A Locally Adapting Matching Pursuit Framework for Group Sparse Signatures in Ultra-Wide Band Radar Imaging [article]

Sanghamitra Dutta, Arijit De
<span title="2014-11-14">2014</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this manuscript, a novel framework that we call locally adapting matching pursuit (LAMP) have been proposed for efficient reconstruction of group sparse signals from compressed measurements without  ...  However, the standard techniques of Compressive Sensing as applied in radar imaging hardly considers the clustering tendency into account while reconstructing the image from the compressed measurements  ...  Algorithms for Group Sparse Recovery For signals exhibiting group sparsity within blocks of known size d, the conventional OMP can be made efficient using a greedy block based OMP (BOMP) as in [24] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1411.4020v1">arXiv:1411.4020v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pzlv57goqvhthkjmwzvid42554">fatcat:pzlv57goqvhthkjmwzvid42554</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929070004/https://arxiv.org/ftp/arxiv/papers/1411/1411.4020.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/25/f1/25f10da994e82fc1d3fbe6afa40f5f3f9973a7bd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1411.4020v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications

Yuan Fang, Lixiang Li, Liwei Liu, Haipeng Peng, Jürgen Kurths, Yixian Yang
<span title="2020-08-26">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
First, we introduce several common sensing methods for CS, like sparse dictionary sensing, block-compressed sensing, and chaotic compressed sensing.  ...  In CS, fewer samples are required to reconstruct sparse or compressible signals, which breaks the restrict condition of a traditional Nyquist–Shannon sampling theorem.  ...  The required sensing matrix for chaotic compressed sensing could be generated with the mapping function.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10175909">doi:10.3390/app10175909</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pkbbog5khjdqhj73dwergi62he">fatcat:pkbbog5khjdqhj73dwergi62he</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200827233443/https://res.mdpi.com/d_attachment/applsci/applsci-10-05909/article_deploy/applsci-10-05909-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/38/6f38f0dc414f886717ff1c8abdd914df5ece10be.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10175909"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Reconstruction of Finite-Alphabet Block-Sparse Signals from MAP Support Detection

Malek Messai, Karine Amis, Frederic Guilloud, Abdeldjalil Aissa-El-Bey
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
We then incorporate the MAP criterion in a compressed sensing detector based on a greedy algorithm for support estimation.  ...  This paper addresses finite-alphabet block-sparse signal recovery by considering support detection and data estimation separately.  ...  MAP SUPPORT-DETECTION AND APPLICATION TO COMPRESSED-SENSING MULTIUSER DETECTION In Section II, we introduced the finite-alphabet constraint in CS algorithms that jointly detect and estimate block-sparse  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2914349">doi:10.1109/access.2019.2914349</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wxm5skyhfbehxijwiz3jsr5pzy">fatcat:wxm5skyhfbehxijwiz3jsr5pzy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429153707/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703721.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2f/d0/2fd0793dc1c4af138cf12c9e373cceee4e29c841.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2914349"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 1,352 results