Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing
The parameter estimation problem from noisy signal measurements plays a key role in several practical applications in the array signal processing area ranging from telecommunications and radar to biomedical and acoustics. The performance of parameter estimation techniques is sensitive to the signal-...
Uloženo v:
| Vydáno v: | Digital signal processing Ročník 89; s. 1 - 7 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Inc
01.06.2019
|
| Témata: | |
| ISSN: | 1051-2004, 1095-4333 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | The parameter estimation problem from noisy signal measurements plays a key role in several practical applications in the array signal processing area ranging from telecommunications and radar to biomedical and acoustics. The performance of parameter estimation techniques is sensitive to the signal-to-noise ratio (SNR) and severely degrades in noisy scenarios. Classical denoising using SVD low-rank approximation and its tensor counterpart known as higher order SVD (HOSVD) have been widely applied as a preprocessing step to improve the SNR of the received signal. In this paper, we propose the tensor-based multiple denoising (MuDe) approach that successively applies spatial smoothing, denoising and reconstruction to the noisy data. By taking into account the knowledge of the model order and by exploiting subarrays created by the spatial smoothing, we can successively denoise the data by means of HOSVD-based and SVD-based low-rank approximation for tensor and matrix data, respectively. We show that our proposed approach significantly reduces the noise level, allowing a more accurate estimation of parameters compared to state-of-the-art matrix-based and tensor-based techniques without decreasing the sensor array aperture. |
|---|---|
| AbstractList | The parameter estimation problem from noisy signal measurements plays a key role in several practical applications in the array signal processing area ranging from telecommunications and radar to biomedical and acoustics. The performance of parameter estimation techniques is sensitive to the signal-to-noise ratio (SNR) and severely degrades in noisy scenarios. Classical denoising using SVD low-rank approximation and its tensor counterpart known as higher order SVD (HOSVD) have been widely applied as a preprocessing step to improve the SNR of the received signal. In this paper, we propose the tensor-based multiple denoising (MuDe) approach that successively applies spatial smoothing, denoising and reconstruction to the noisy data. By taking into account the knowledge of the model order and by exploiting subarrays created by the spatial smoothing, we can successively denoise the data by means of HOSVD-based and SVD-based low-rank approximation for tensor and matrix data, respectively. We show that our proposed approach significantly reduces the noise level, allowing a more accurate estimation of parameters compared to state-of-the-art matrix-based and tensor-based techniques without decreasing the sensor array aperture. |
| Author | da Costa, João Paulo C.L. de Almeida, André L.F. Gomes, Paulo R.B. de Sousa, Rafael T. |
| Author_xml | – sequence: 1 givenname: Paulo R.B. surname: Gomes fullname: Gomes, Paulo R.B. email: paulo@gtel.ufc.br organization: Department of Teleinformatics Engineering, Federal University of Ceará, Brazil – sequence: 2 givenname: João Paulo C.L. surname: da Costa fullname: da Costa, João Paulo C.L. email: joaopaulo.dacosta@ene.unb.br organization: Department of Electrical Engineering, University of Brasília, Brazil – sequence: 3 givenname: André L.F. surname: de Almeida fullname: de Almeida, André L.F. email: andre@gtel.ufc.br organization: Department of Teleinformatics Engineering, Federal University of Ceará, Brazil – sequence: 4 givenname: Rafael T. surname: de Sousa fullname: de Sousa, Rafael T. email: desousa@ene.unb.br organization: Department of Electrical Engineering, University of Brasília, Brazil |
| BookMark | eNp9kMtOwzAQRS1UJNrCB7DzB5AwzqNJxAqVp1QJCXVvOc60uKR25EkL_QZ-GrdlxaIrW9Y947lnxAbWWWTsWkAsQExuV3FDXZyAqGIQMUB-xoYCqjzK0jQd7O-5iBKA7IKNiFYAUGTJZMh-5mjJ-ahWhA1fb9redC3yBq0zZOySb43itNEaicwWOXWqN6rltHau_wiBG966r8gr-8lV13n3bdYh4SxXtuEetbPU-40-PC2c5-_RA6fDn1x5r3Y8MIfhdnnJzheqJbz6O8ds_vQ4n75Es7fn1-n9LNJJVfRRqYtyglAlBdSTRDSgQaQQqmd1lRYqT6q8VNiUSV2mOsNMqzrDMgsZRFSQjllxHKu9I_K4kNr0h517r0wrBci9UrmSQancK5UgZFAaSPGP7Hyo63cnmbsjg6HR1qCXpA1ajY0JdnrZOHOC_gUImpTX |
| CitedBy_id | crossref_primary_10_1109_ACCESS_2022_3160187 crossref_primary_10_3390_en15103525 crossref_primary_10_3390_s19235076 crossref_primary_10_1016_j_dsp_2020_102880 crossref_primary_10_1016_j_dsp_2022_103741 crossref_primary_10_1016_j_engstruct_2024_118208 crossref_primary_10_1109_ACCESS_2020_3024597 crossref_primary_10_1109_TNSE_2022_3205708 crossref_primary_10_1016_j_jnca_2020_102894 crossref_primary_10_1109_ACCESS_2021_3055728 crossref_primary_10_1109_JIOT_2024_3474916 crossref_primary_10_3390_s20020341 crossref_primary_10_1016_j_asoc_2019_105603 |
| Cites_doi | 10.1109/TASSP.1985.1164649 10.1109/TSP.2008.917929 10.1109/TGRS.2010.2075937 10.1109/TSP.2017.2652388 10.1016/j.sigpro.2013.04.010 10.1016/j.dsp.2016.12.003 10.1109/TAP.1986.1143830 10.1109/TSP.2010.2043141 10.1109/29.32276 10.1049/el.2015.4380 10.1016/j.dsp.2016.01.003 10.1016/j.media.2014.08.004 10.1109/TSP.2010.2049264 10.1109/TSP.2012.2203814 10.1109/TWC.2016.2604259 10.1016/j.sigpro.2004.11.029 10.1109/78.301848 10.1109/TSP.2010.2058802 10.1137/S0895479896305696 10.1109/MSP.2013.2297439 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier Inc. |
| Copyright_xml | – notice: 2019 Elsevier Inc. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.dsp.2019.01.005 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1095-4333 |
| EndPage | 7 |
| ExternalDocumentID | 10_1016_j_dsp_2019_01_005 S1051200418302847 |
| GroupedDBID | --K --M .DC .~1 0R~ 1B1 1~. 1~5 29G 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADFGL ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CAG COF CS3 DM4 DU5 EBS EFBJH EFLBG EJD EO8 EO9 EP2 EP3 F0J F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q G8K GBLVA GBOLZ HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG5 LG9 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SES SET SEW SPC SPCBC SST SSV SSZ T5K WUQ XPP ZMT ZU3 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABDPE ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c297t-8c786e09270b621d0c01302014b937a52958aed82b83c4e4cab4e84130eeea03 |
| ISICitedReferencesCount | 12 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000468711300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1051-2004 |
| IngestDate | Sat Nov 29 05:58:01 EST 2025 Tue Nov 18 22:18:53 EST 2025 Fri Feb 23 02:28:08 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | SVD Multidimensional signal processing Parameter estimation Spatial smoothing Array processing Denoising |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c297t-8c786e09270b621d0c01302014b937a52958aed82b83c4e4cab4e84130eeea03 |
| PageCount | 7 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_dsp_2019_01_005 crossref_primary_10_1016_j_dsp_2019_01_005 elsevier_sciencedirect_doi_10_1016_j_dsp_2019_01_005 |
| PublicationCentury | 2000 |
| PublicationDate | June 2019 2019-06-00 |
| PublicationDateYYYYMMDD | 2019-06-01 |
| PublicationDate_xml | – month: 06 year: 2019 text: June 2019 |
| PublicationDecade | 2010 |
| PublicationTitle | Digital signal processing |
| PublicationYear | 2019 |
| Publisher | Elsevier Inc |
| Publisher_xml | – name: Elsevier Inc |
| References | Liu, Sidiropoulos (br0210) 2004 Roemer, Haardt (br0280) 2012 Golub, Van Loan (br0240) 1996 Weis, del Galdo, Haardt (br0110) 2007 Steinwandt, Roemer, Haardt, del Galdo (br0170) May 2017; 65 Haardt, Roemer, del Galdo (br0090) Jul. 2008; 56 Nion, Sidiropoulos (br0030) Nov. 2010; 58 Liu, da Costa, So, Huang, Ye (br0130) 2016; 51 da Costa, Roemer, Weis, Haardt (br0160) 2010 Zhang, Xu, Jia, Yang, Feng, Chen, Feng (br0060) 2015; 19 Gomes, de Almeida, da Costa, del Galdo (br0100) Mar. 2017; 62 Steinwandt, Roemer, Haardt (br0260) 2014 Pal, Vaidyanathan (br0320) Sep. 2012; 60 Cichocki, Mandic, De Lathauwer, Zhou, Zhao, Caiafa, Phan (br0180) 2015; 32 da Costa, Liu, So, Roemer, Haardt, Schwarz (br0300) Nov. 2013; 93 Chen, Qian (br0070) 2011; 49 de Lathauwer, de Moor, Vanderwalle (br0080) 2000; 21 Singh, Wang, Chargé (br0020) 2016; 52 Pal, Vaidyanathan (br0310) Aug. 2010; 58 da Costa, Roemer, Haardt, de Sousa (br0120) Jul. 2011; 26 Schimidt (br0270) 1986; 34 Zhou, Fang, Yang, Li, Chen, Li (br0010) Nov. 2016; 15 Bro (br0220) 1998 Gong, Xu, Liu (br0200) 2006 Roy, Kailath (br0250) 1989; 37 Muti, Bourennane (br0050) 2005; 85 Kolda, Bader (br0150) Aug. 2009; 51 Thakre, Haardt, Roemer, Giridhar (br0190) May 2010; 58 Hammoud, Antreich, Nossek, da Costa, de Almeida (br0040) 2016 Rajih (br0230) Dec. 2006 Shan, Wax, Kailath (br0140) Aug. 1985; 33 Linebarger, DeGroat, Dowling (br0290) Aug. 1994; 42 Schimidt (10.1016/j.dsp.2019.01.005_br0270) 1986; 34 Bro (10.1016/j.dsp.2019.01.005_br0220) 1998 Haardt (10.1016/j.dsp.2019.01.005_br0090) 2008; 56 Golub (10.1016/j.dsp.2019.01.005_br0240) 1996 de Lathauwer (10.1016/j.dsp.2019.01.005_br0080) 2000; 21 Pal (10.1016/j.dsp.2019.01.005_br0310) 2010; 58 Chen (10.1016/j.dsp.2019.01.005_br0070) 2011; 49 Kolda (10.1016/j.dsp.2019.01.005_br0150) 2009; 51 Roy (10.1016/j.dsp.2019.01.005_br0250) 1989; 37 da Costa (10.1016/j.dsp.2019.01.005_br0160) 2010 da Costa (10.1016/j.dsp.2019.01.005_br0300) 2013; 93 Nion (10.1016/j.dsp.2019.01.005_br0030) 2010; 58 da Costa (10.1016/j.dsp.2019.01.005_br0120) 2011; 26 Pal (10.1016/j.dsp.2019.01.005_br0320) 2012; 60 Liu (10.1016/j.dsp.2019.01.005_br0210) 2004 Steinwandt (10.1016/j.dsp.2019.01.005_br0260) 2014 Rajih (10.1016/j.dsp.2019.01.005_br0230) 2006 Gong (10.1016/j.dsp.2019.01.005_br0200) 2006 Cichocki (10.1016/j.dsp.2019.01.005_br0180) 2015; 32 Singh (10.1016/j.dsp.2019.01.005_br0020) 2016; 52 Weis (10.1016/j.dsp.2019.01.005_br0110) 2007 Muti (10.1016/j.dsp.2019.01.005_br0050) 2005; 85 Thakre (10.1016/j.dsp.2019.01.005_br0190) 2010; 58 Steinwandt (10.1016/j.dsp.2019.01.005_br0170) 2017; 65 Hammoud (10.1016/j.dsp.2019.01.005_br0040) 2016 Roemer (10.1016/j.dsp.2019.01.005_br0280) Gomes (10.1016/j.dsp.2019.01.005_br0100) 2017; 62 Liu (10.1016/j.dsp.2019.01.005_br0130) 2016; 51 Shan (10.1016/j.dsp.2019.01.005_br0140) 1985; 33 Zhou (10.1016/j.dsp.2019.01.005_br0010) 2016; 15 Zhang (10.1016/j.dsp.2019.01.005_br0060) 2015; 19 Linebarger (10.1016/j.dsp.2019.01.005_br0290) 1994; 42 |
| References_xml | – volume: 34 start-page: 276 year: 1986 end-page: 280 ident: br0270 article-title: Multiple emitter location and signal parameter estimation publication-title: IEEE Trans. Antennas Propag. – volume: 49 start-page: 973 year: 2011 end-page: 980 ident: br0070 article-title: Denoising of hyperspectral imagery using principal component analysis and wavelet shrinkage publication-title: IEEE Trans. Geosci. Remote Sens. – year: 2006 ident: br0200 article-title: On the equivalence of tensor-MUSIC and matrix-MUSIC publication-title: International Symposium on Antennas, Propagation and EM Theory (ISAPE'06) – year: 2014 ident: br0260 article-title: Asymptotic performance analysis of ESPRIT-type algorithms for circular and strictly non-circular sources with spatial smoothing publication-title: IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'2014) – volume: 56 start-page: 3198 year: Jul. 2008 end-page: 3213 ident: br0090 article-title: Higher-order SVD-based subspace estimation to improve the parameter estimation accuracy in multidimensional harmonic retrieval problems publication-title: IEEE Trans. Signal Process. – volume: 60 start-page: 4694 year: Sep. 2012 end-page: 4705 ident: br0320 article-title: Nested arrays in two dimensions, part I: geometrical considerations publication-title: IEEE Trans. Signal Process. – volume: 15 start-page: 7501 year: Nov. 2016 end-page: 7516 ident: br0010 article-title: Channel estimation for millimeter wave multiuser MIMO systems via PARAFAC decomposition publication-title: IEEE Trans. Wirel. Commun. – volume: 26 year: Jul. 2011 ident: br0120 article-title: Multi-dimensional model order selection publication-title: EURASIP J. Adv. Signal Process. – volume: 42 start-page: 2136 year: Aug. 1994 end-page: 2145 ident: br0290 article-title: Efficient direction finding methods employing forward/backward averaging publication-title: IEEE Trans. Signal Process. – year: 2010 ident: br0160 article-title: Robust R-D parameter estimation via closed-form PARAFAC publication-title: Proc. ITG Workshop on Smart Antennas (WSA'10) – volume: 58 start-page: 4167 year: Aug. 2010 end-page: 4181 ident: br0310 article-title: Nested arrays: a novel approach to array processing with enhanced degrees of freedom publication-title: IEEE Trans. Signal Process. – year: 1998 ident: br0220 article-title: Multi-Way Analysis in the Food Industry: Models, Algorithms and Applications – year: 2007 ident: br0110 article-title: A correlation tensor-based model for time variant frequency selective MIMO channels publication-title: International ITG/IEEE Workshop on Smart Antennas (WSA) – volume: 93 start-page: 3209 year: Nov. 2013 end-page: 3226 ident: br0300 article-title: Multidimensional prewhitening for enhanced signal reconstruction and parameter estimation in colored noise with Kronecker correlation structure publication-title: Signal Process. – volume: 19 start-page: 75 year: 2015 end-page: 86 ident: br0060 article-title: Denoising of 3d magnetic resonance images by using higher-order singular value decomposition publication-title: Med. Image Anal. – volume: 21 start-page: 1253 year: 2000 end-page: 1278 ident: br0080 article-title: A multilinear singular value decomposition publication-title: SIAM J. Matrix Anal. Appl. – volume: 37 start-page: 984 year: 1989 end-page: 995 ident: br0250 article-title: ESPRIT-estimation of signal parameters via rotational invariance techniques publication-title: IEEE Trans. Acoust. Speech Signal Process. – volume: 52 start-page: 1060 year: 2016 end-page: 1061 ident: br0020 article-title: Bistatic MIMO radar for near field source localisation using PARAFAC publication-title: Electron. Lett. – year: 2012 ident: br0280 article-title: A framework for the analytical performance assessment of matrix and tensor-based ESPRIT-type algorithms – year: 2016 ident: br0040 article-title: Tensor-based approach for time-delay estimation publication-title: 20-th International ITG Workshop on Smart Antennas (WSA) – start-page: 111 year: 2004 end-page: 150 ident: br0210 article-title: PARAFAC techniques for high-resolution array processing publication-title: High-Resolution and Robust Signal Processing – volume: 33 start-page: 806 year: Aug. 1985 end-page: 811 ident: br0140 article-title: On spatial smoothing for direction-of-arrival estimation of coherent signals publication-title: IEEE Trans. Acoust. Speech Signal Process. – year: 1996 ident: br0240 article-title: Matrix Computations – volume: 65 start-page: 2262 year: May 2017 end-page: 2276 ident: br0170 article-title: Performance analysis of multi-dimensional ESPRIT-type algorithms for arbitrary and strictly non-circular sources with spatial smoothing publication-title: IEEE Trans. Signal Process. – volume: 32 start-page: 145 year: 2015 end-page: 163 ident: br0180 article-title: Tensor decompositions for signal processing applications: from two-way to multiway component analysis publication-title: IEEE Signal Process. Mag. – year: Dec. 2006 ident: br0230 article-title: Blind Identification of Underdetermined Mixtures Based on the Characteristic Function – volume: 58 start-page: 2715 year: May 2010 end-page: 2728 ident: br0190 article-title: Tensor-based spatial smoothing (TB-SS) using multiple snapshots publication-title: IEEE Trans. Signal Process. – volume: 51 start-page: 455 year: Aug. 2009 end-page: 500 ident: br0150 article-title: Tensor decompositions and applications publication-title: Soc. Ind. Appl. Math. – volume: 51 start-page: 110 year: 2016 end-page: 123 ident: br0130 article-title: Detection of number of components in CANDECOMP/PARAFAC models via minimum description length publication-title: Digit. Signal Process. – volume: 62 start-page: 197 year: Mar. 2017 end-page: 210 ident: br0100 article-title: Tensor-based methods for blind spatial signature estimation under arbitrary and unknown source covariance structure publication-title: Digit. Signal Process. – volume: 58 start-page: 5693 year: Nov. 2010 end-page: 5705 ident: br0030 article-title: Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar publication-title: IEEE Trans. Signal Process. – volume: 85 start-page: 2338 year: 2005 end-page: 2353 ident: br0050 article-title: Multidimensional filtering based on a tensor approach publication-title: Signal Process. – year: 2007 ident: 10.1016/j.dsp.2019.01.005_br0110 article-title: A correlation tensor-based model for time variant frequency selective MIMO channels – volume: 33 start-page: 806 year: 1985 ident: 10.1016/j.dsp.2019.01.005_br0140 article-title: On spatial smoothing for direction-of-arrival estimation of coherent signals publication-title: IEEE Trans. Acoust. Speech Signal Process. doi: 10.1109/TASSP.1985.1164649 – volume: 51 start-page: 455 issue: 3 year: 2009 ident: 10.1016/j.dsp.2019.01.005_br0150 article-title: Tensor decompositions and applications publication-title: Soc. Ind. Appl. Math. – volume: 56 start-page: 3198 issue: 7 year: 2008 ident: 10.1016/j.dsp.2019.01.005_br0090 article-title: Higher-order SVD-based subspace estimation to improve the parameter estimation accuracy in multidimensional harmonic retrieval problems publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2008.917929 – year: 2006 ident: 10.1016/j.dsp.2019.01.005_br0230 – volume: 49 start-page: 973 issue: 3 year: 2011 ident: 10.1016/j.dsp.2019.01.005_br0070 article-title: Denoising of hyperspectral imagery using principal component analysis and wavelet shrinkage publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2010.2075937 – volume: 65 start-page: 2262 issue: 9 year: 2017 ident: 10.1016/j.dsp.2019.01.005_br0170 article-title: Performance analysis of multi-dimensional ESPRIT-type algorithms for arbitrary and strictly non-circular sources with spatial smoothing publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2017.2652388 – ident: 10.1016/j.dsp.2019.01.005_br0280 – year: 2006 ident: 10.1016/j.dsp.2019.01.005_br0200 article-title: On the equivalence of tensor-MUSIC and matrix-MUSIC – year: 1996 ident: 10.1016/j.dsp.2019.01.005_br0240 – volume: 93 start-page: 3209 issue: 11 year: 2013 ident: 10.1016/j.dsp.2019.01.005_br0300 article-title: Multidimensional prewhitening for enhanced signal reconstruction and parameter estimation in colored noise with Kronecker correlation structure publication-title: Signal Process. doi: 10.1016/j.sigpro.2013.04.010 – volume: 62 start-page: 197 year: 2017 ident: 10.1016/j.dsp.2019.01.005_br0100 article-title: Tensor-based methods for blind spatial signature estimation under arbitrary and unknown source covariance structure publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2016.12.003 – volume: 26 issue: 20 year: 2011 ident: 10.1016/j.dsp.2019.01.005_br0120 article-title: Multi-dimensional model order selection publication-title: EURASIP J. Adv. Signal Process. – volume: 34 start-page: 276 issue: 3 year: 1986 ident: 10.1016/j.dsp.2019.01.005_br0270 article-title: Multiple emitter location and signal parameter estimation publication-title: IEEE Trans. Antennas Propag. doi: 10.1109/TAP.1986.1143830 – volume: 58 start-page: 2715 issue: 5 year: 2010 ident: 10.1016/j.dsp.2019.01.005_br0190 article-title: Tensor-based spatial smoothing (TB-SS) using multiple snapshots publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2010.2043141 – start-page: 111 year: 2004 ident: 10.1016/j.dsp.2019.01.005_br0210 article-title: PARAFAC techniques for high-resolution array processing – volume: 37 start-page: 984 issue: 7 year: 1989 ident: 10.1016/j.dsp.2019.01.005_br0250 article-title: ESPRIT-estimation of signal parameters via rotational invariance techniques publication-title: IEEE Trans. Acoust. Speech Signal Process. doi: 10.1109/29.32276 – volume: 52 start-page: 1060 issue: 12 year: 2016 ident: 10.1016/j.dsp.2019.01.005_br0020 article-title: Bistatic MIMO radar for near field source localisation using PARAFAC publication-title: Electron. Lett. doi: 10.1049/el.2015.4380 – year: 2016 ident: 10.1016/j.dsp.2019.01.005_br0040 article-title: Tensor-based approach for time-delay estimation – volume: 51 start-page: 110 year: 2016 ident: 10.1016/j.dsp.2019.01.005_br0130 article-title: Detection of number of components in CANDECOMP/PARAFAC models via minimum description length publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2016.01.003 – volume: 19 start-page: 75 issue: 1 year: 2015 ident: 10.1016/j.dsp.2019.01.005_br0060 article-title: Denoising of 3d magnetic resonance images by using higher-order singular value decomposition publication-title: Med. Image Anal. doi: 10.1016/j.media.2014.08.004 – year: 2010 ident: 10.1016/j.dsp.2019.01.005_br0160 article-title: Robust R-D parameter estimation via closed-form PARAFAC – volume: 58 start-page: 4167 issue: 8 year: 2010 ident: 10.1016/j.dsp.2019.01.005_br0310 article-title: Nested arrays: a novel approach to array processing with enhanced degrees of freedom publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2010.2049264 – year: 2014 ident: 10.1016/j.dsp.2019.01.005_br0260 article-title: Asymptotic performance analysis of ESPRIT-type algorithms for circular and strictly non-circular sources with spatial smoothing – volume: 60 start-page: 4694 issue: 9 year: 2012 ident: 10.1016/j.dsp.2019.01.005_br0320 article-title: Nested arrays in two dimensions, part I: geometrical considerations publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2012.2203814 – volume: 15 start-page: 7501 issue: 11 year: 2016 ident: 10.1016/j.dsp.2019.01.005_br0010 article-title: Channel estimation for millimeter wave multiuser MIMO systems via PARAFAC decomposition publication-title: IEEE Trans. Wirel. Commun. doi: 10.1109/TWC.2016.2604259 – volume: 85 start-page: 2338 issue: 12 year: 2005 ident: 10.1016/j.dsp.2019.01.005_br0050 article-title: Multidimensional filtering based on a tensor approach publication-title: Signal Process. doi: 10.1016/j.sigpro.2004.11.029 – volume: 42 start-page: 2136 issue: 8 year: 1994 ident: 10.1016/j.dsp.2019.01.005_br0290 article-title: Efficient direction finding methods employing forward/backward averaging publication-title: IEEE Trans. Signal Process. doi: 10.1109/78.301848 – year: 1998 ident: 10.1016/j.dsp.2019.01.005_br0220 – volume: 58 start-page: 5693 issue: 11 year: 2010 ident: 10.1016/j.dsp.2019.01.005_br0030 article-title: Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2010.2058802 – volume: 21 start-page: 1253 issue: 4 year: 2000 ident: 10.1016/j.dsp.2019.01.005_br0080 article-title: A multilinear singular value decomposition publication-title: SIAM J. Matrix Anal. Appl. doi: 10.1137/S0895479896305696 – volume: 32 start-page: 145 issue: 2 year: 2015 ident: 10.1016/j.dsp.2019.01.005_br0180 article-title: Tensor decompositions for signal processing applications: from two-way to multiway component analysis publication-title: IEEE Signal Process. Mag. doi: 10.1109/MSP.2013.2297439 |
| SSID | ssj0007426 |
| Score | 2.2664368 |
| Snippet | The parameter estimation problem from noisy signal measurements plays a key role in several practical applications in the array signal processing area ranging... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Array processing Denoising Multidimensional signal processing Parameter estimation Spatial smoothing SVD |
| Title | Tensor-based multiple denoising via successive spatial smoothing, low-rank approximation and reconstruction for R-D sensor array processing |
| URI | https://dx.doi.org/10.1016/j.dsp.2019.01.005 |
| Volume | 89 |
| WOSCitedRecordID | wos000468711300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1095-4333 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0007426 issn: 1051-2004 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj5swELaibA_toepT3e1DPvRUCgLixOaY7kPtKlpV2xxyQ8Y4FSsSorBJ09_QH9i_0_ELyGq36h56QREMBjFfZsb2NzMIvZdRDn45ET7JQA0klMznTAz8eUxjSTgRJNfV9Sf04oLNZsnXXu-3y4XZlnS5ZLtdsvqvqoZzoGyVOnsPdTeDwgn4DUqHI6gdjv-meJiYVmtfuae85QuCeakKvS6wLbhXb3SfRMUaqhWlWiWNLCpQmu1wUlY_fNXN3ZQc3xUmv9Fw0dUMuqk6q1mKl_6JV-uneny95j-9lck-cF7Rxr4nxXfVocRTlBGV_7UvpGv0L1zfgE1ZeZfBp8BdyjlYLhvpnld6d39QWbnjYNLKSW9cLmSRc8fWNEwAbxKcdYW-VZvahM18zmXpTYPu8ofKuHI0LWuxwaoY_XdMuulKZG1y1HHu9FavYRYwroK8VhVMo0QXcg2HrYt0tIAbnrPhMzqq3FUKQ6RqiDSMUl1b9yCmw4T10cH4y-nsvAkSKNGdAJu3dxvumnp44z1uD5k6YdD0CXps5y94bHD3FPXk8hl61Klq-Rz96iIQOwTiBoEYEIhbBGKLQNwg8CN2-MN7-MOAP7yPPwz4w4A_bPCHNf5wC60XaHp2Oj3-7NueH76IE3rtM0HZSIZJTMNsFEd5KPTWOkzkMwikudqWZlzmLM7YQBBJBM-IZCoSk1LycPAS9ZfVUr5CmA9DGUpOo4xxEhPKaZbP46HgVI5Gw3h-iEL3VVNh6-Grtixleqc2D9GH5paVKQbzN2HiVJXaaNZEqSnA7u7bju7zjNfoYfufeIP68PHlW_RAbK-Lev3OYu4PqDLEpg |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Tensor-based+multiple+denoising+via+successive+spatial+smoothing%2C+low-rank+approximation+and+reconstruction+for+R-D+sensor+array+processing&rft.jtitle=Digital+signal+processing&rft.au=Gomes%2C+Paulo+R.B.&rft.au=da+Costa%2C+Jo%C3%A3o+Paulo+C.L.&rft.au=de+Almeida%2C+Andr%C3%A9+L.F.&rft.au=de+Sousa%2C+Rafael+T.&rft.date=2019-06-01&rft.issn=1051-2004&rft.volume=89&rft.spage=1&rft.epage=7&rft_id=info:doi/10.1016%2Fj.dsp.2019.01.005&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_dsp_2019_01_005 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1051-2004&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1051-2004&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1051-2004&client=summon |