{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T06:33:02Z","timestamp":1724135582898},"reference-count":52,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61901291"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20191419"],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Signal Processing"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1016\/j.sigpro.2022.108512","type":"journal-article","created":{"date-parts":[[2022,2,26]],"date-time":"2022-02-26T07:27:35Z","timestamp":1645860455000},"page":"108512","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["An improved mean-square performance analysis of the diffusion least stochastic entropy algorithm"],"prefix":"10.1016","volume":"196","author":[{"given":"Zhu","family":"Qing","sequence":"first","affiliation":[]},{"given":"Jingen","family":"Ni","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7130-7876","authenticated-orcid":false,"given":"Zhe","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.sigpro.2022.108512_bib0001","doi-asserted-by":"crossref","first-page":"2069","DOI":"10.1109\/TAC.2010.2042987","article-title":"Diffusion strategies for distributed Kalman filtering and smoothing","volume":"55","author":"Cattivelli","year":"2010","journal-title":"IEEE Trans. Autom. Control"},{"issue":"4","key":"10.1016\/j.sigpro.2022.108512_bib0002","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1109\/JSTSP.2011.2125943","article-title":"Mobile adaptive networks","volume":"5","author":"Tu","year":"2011","journal-title":"IEEE J. Sel. Top. Signal Process."},{"issue":"5","key":"10.1016\/j.sigpro.2022.108512_bib0003","doi-asserted-by":"crossref","first-page":"2038","DOI":"10.1109\/TSP.2011.2107907","article-title":"Modeling bird flight formations using diffusion adaptation","volume":"59","author":"Cattivelli","year":"2011","journal-title":"IEEE Trans. Signal Process."},{"issue":"12","key":"10.1016\/j.sigpro.2022.108512_bib0004","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1109\/LSP.2013.2287373","article-title":"Distributed spectrum estimation for small cell networks based on sparse diffusion adaptation","volume":"20","author":"Di Lorenzo","year":"2013","journal-title":"IEEE Signal Process. Lett."},{"issue":"12","key":"10.1016\/j.sigpro.2022.108512_bib0005","doi-asserted-by":"crossref","first-page":"3183","DOI":"10.1109\/TSP.2013.2258342","article-title":"Bio-inspired decentralized radio access based on swarming mechanisms over adaptive networks","volume":"61","author":"Di Lorenzo","year":"2013","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"10.1016\/j.sigpro.2022.108512_bib0006","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1109\/TSP.2013.2296271","article-title":"Distributed decision-making over adaptive networks","volume":"62","author":"Tu","year":"2014","journal-title":"IEEE Trans. Signal Process."},{"issue":"8","key":"10.1016\/j.sigpro.2022.108512_bib0007","doi-asserted-by":"crossref","first-page":"4064","DOI":"10.1109\/TSP.2007.896034","article-title":"Incremental adaptive strategies over distributed networks","volume":"55","author":"Lopes","year":"2007","journal-title":"IEEE Trans. Signal Process."},{"issue":"1","key":"10.1016\/j.sigpro.2022.108512_bib0008","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1109\/TSP.2009.2025074","article-title":"Distributed estimation over an adaptive incremental network based on the affine projection algorithm","volume":"58","author":"Li","year":"2010","journal-title":"IEEE Trans. Signal Process."},{"issue":"7","key":"10.1016\/j.sigpro.2022.108512_bib0009","doi-asserted-by":"crossref","first-page":"3375","DOI":"10.1109\/TSP.2008.917855","article-title":"Enforcing consensus while monitoring the environment in wireless sensor networks","volume":"56","author":"Braca","year":"2008","journal-title":"IEEE Trans. Signal Process."},{"issue":"1","key":"10.1016\/j.sigpro.2022.108512_bib0010","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/TAC.2008.2009515","article-title":"Distributed subgradient methods for multi-agent optimization","volume":"54","author":"Nedic","year":"2009","journal-title":"IEEE Trans. Autom. Control"},{"issue":"3","key":"10.1016\/j.sigpro.2022.108512_bib0011","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1109\/MSP.2012.2231991","article-title":"Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior","volume":"30","author":"Sayed","year":"2013","journal-title":"IEEE Signal Process. Mag."},{"issue":"8","key":"10.1016\/j.sigpro.2022.108512_bib0012","doi-asserted-by":"crossref","first-page":"4289","DOI":"10.1109\/TSP.2012.2198470","article-title":"Diffusion adaptation strategies for distributed optimization and learning over networks","volume":"60","author":"Chen","year":"2012","journal-title":"IEEE Trans. Signal Process."},{"issue":"12","key":"10.1016\/j.sigpro.2022.108512_bib0013","doi-asserted-by":"crossref","first-page":"6217","DOI":"10.1109\/TSP.2012.2217338","article-title":"Diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks","volume":"60","author":"Tu","year":"2012","journal-title":"IEEE Trans. Signal Process."},{"issue":"7","key":"10.1016\/j.sigpro.2022.108512_bib0014","doi-asserted-by":"crossref","first-page":"3122","DOI":"10.1109\/TSP.2008.917383","article-title":"Diffusion least-mean squares over adaptive networks: formulation and performance analysis","volume":"56","author":"Lopes","year":"2008","journal-title":"IEEE Trans. Signal Process."},{"issue":"3","key":"10.1016\/j.sigpro.2022.108512_bib0015","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1109\/TSP.2009.2033729","article-title":"Diffusion LMS strategies for distributed estimation","volume":"58","author":"Cattivelli","year":"2010","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"10.1016\/j.sigpro.2022.108512_bib0016","doi-asserted-by":"crossref","first-page":"1865","DOI":"10.1109\/TSP.2007.913164","article-title":"Diffusion recursive least-squares for distributed estimation over adaptive networks","volume":"56","author":"Cattivelli","year":"2008","journal-title":"IEEE Trans. Signal Process."},{"issue":"14","key":"10.1016\/j.sigpro.2022.108512_bib0017","doi-asserted-by":"crossref","first-page":"3510","DOI":"10.1109\/TSP.2014.2327005","article-title":"Adaptive distributed estimation based on recursive least-squares and partial diffusion","volume":"62","author":"Arablouei","year":"2014","journal-title":"IEEE Trans. Signal Process."},{"issue":"8","key":"10.1016\/j.sigpro.2022.108512_bib0018","doi-asserted-by":"crossref","first-page":"4480","DOI":"10.1109\/TSP.2012.2198468","article-title":"Diffusion sparse least-mean squares over networks","volume":"60","author":"Liu","year":"2012","journal-title":"IEEE Trans. Signal Process."},{"issue":"6","key":"10.1016\/j.sigpro.2022.108512_bib0019","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1109\/TSP.2012.2232663","article-title":"Sparse distributed learning based on diffusion adaptation","volume":"61","author":"Di Lorenzo","year":"2013","journal-title":"IEEE Trans. Signal Process."},{"issue":"11","key":"10.1016\/j.sigpro.2022.108512_bib0020","doi-asserted-by":"crossref","first-page":"2029","DOI":"10.1109\/LSP.2015.2454055","article-title":"Diffusion sign subband adaptive filtering algorithm for distributed estimation","volume":"22","author":"Ni","year":"2015","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.sigpro.2022.108512_bib0021","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.sigpro.2016.03.022","article-title":"Diffusion sign-error LMS algorithm: formulation and stochastic behavior analysis","volume":"128","author":"Ni","year":"2016","journal-title":"Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0022","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.sigpro.2018.02.033","article-title":"Steady-state and stability analyses of diffusion sign-error LMS algorithm","volume":"149","author":"Gao","year":"2018","journal-title":"Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0023","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.sigpro.2015.11.020","article-title":"Variable step-size diffusion least mean fourth algorithm for distributed estimation","volume":"122","author":"Ni","year":"2016","journal-title":"Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0024","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.sigpro.2017.05.025","article-title":"Performance analysis of diffusion least mean fourth algorithm over network","volume":"141","author":"Wang","year":"2017","journal-title":"Signal Process."},{"issue":"16","key":"10.1016\/j.sigpro.2022.108512_bib0025","doi-asserted-by":"crossref","first-page":"4011","DOI":"10.1109\/TSP.2013.2265221","article-title":"Diffusion information theoretic learning for distributed estimation over network","volume":"61","author":"Li","year":"2013","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0026","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.dsp.2016.07.009","article-title":"Diffusion maximum correntropy criterion algorithms for robust distributed estimation","volume":"58","author":"Ma","year":"2016","journal-title":"Digit. Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0027","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.dsp.2018.02.008","article-title":"Diffusion generalized maximum correntropy criterion algorithm for distributed estimation over multitask network","volume":"81","author":"Chen","year":"2018","journal-title":"Digit. Signal Process."},{"issue":"8","key":"10.1016\/j.sigpro.2022.108512_bib0028","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.1109\/78.403373","article-title":"Widely linear estimation with complex data","volume":"43","author":"Picinbono","year":"1995","journal-title":"IEEE Trans. Signal Process."},{"issue":"10","key":"10.1016\/j.sigpro.2022.108512_bib0029","doi-asserted-by":"crossref","first-page":"2637","DOI":"10.1109\/78.539051","article-title":"Second-order complex random vectors and normal distributions","volume":"44","author":"Picinbono","year":"1996","journal-title":"IEEE Trans. Signal Process."},{"issue":"11","key":"10.1016\/j.sigpro.2022.108512_bib0030","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1109\/LSP.2011.2168390","article-title":"An adaptive diffusion augmented CLMS algorithm for distributed filtering of noncircular complex signals","volume":"18","author":"Xia","year":"2011","journal-title":"IEEE Signal Process. Lett."},{"issue":"1","key":"10.1016\/j.sigpro.2022.108512_bib0031","first-page":"45","article-title":"Distributed widely linear Kalman filtering for frequency estimation in power networks","volume":"1","author":"Kanna","year":"2015","journal-title":"IEEE Trans. Signal Inf. Process. Netw."},{"issue":"2","key":"10.1016\/j.sigpro.2022.108512_bib0032","first-page":"248","article-title":"Widely linear complex-valued diffusion subband adaptive filter algorithm","volume":"5","author":"Wen","year":"2019","journal-title":"IEEE Trans. Signal Inf. Process. Netw."},{"issue":"11","key":"10.1016\/j.sigpro.2022.108512_bib0033","doi-asserted-by":"crossref","first-page":"5672","DOI":"10.1109\/TSP.2012.2210889","article-title":"Complex-valued linear and widely linear filtering using MSE and Gaussian entropy","volume":"60","author":"Li","year":"2012","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"10.1016\/j.sigpro.2022.108512_bib0034","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1109\/MSP.2013.2287951","article-title":"Optimization and estimation of complex-valued signals: theory and applications in filtering and blind source separation","volume":"31","author":"Adali","year":"2014","journal-title":"IEEE Signal Process. Mag."},{"key":"10.1016\/j.sigpro.2022.108512_bib0035","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.sigpro.2019.02.024","article-title":"Complex-valued Kalman filters based on Gaussian entropy","volume":"160","author":"Wang","year":"2019","journal-title":"Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0036","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1109\/LSP.2021.3064762","article-title":"Minimum Gaussian entropy based distortionless adaptive beamforming algorithms","volume":"28","author":"Xia","year":"2021","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.sigpro.2022.108512_bib0037","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.sigpro.2018.03.003","article-title":"Complex-valued adaptive networks based on entropy estimation","volume":"149","author":"Wang","year":"2018","journal-title":"Signal Process."},{"issue":"3","key":"10.1016\/j.sigpro.2022.108512_bib0038","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1109\/TIT.1962.1057719","article-title":"On a moment theorem for complex Gaussian processes","volume":"8","author":"Reed","year":"1962","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"4\u20135","key":"10.1016\/j.sigpro.2022.108512_bib0039","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1561\/2200000051","article-title":"Adaptation, learning, and optimization over networks","volume":"7","author":"Sayed","year":"2014","journal-title":"Found. Trends Mach. Learn."},{"key":"10.1016\/j.sigpro.2022.108512_bib0040","doi-asserted-by":"crossref","first-page":"2330","DOI":"10.1109\/TSP.2021.3066812","article-title":"Bias-compensated sign algorithm for noisy inputs and its step-size optimization","volume":"69","author":"Ni","year":"2021","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0041","doi-asserted-by":"crossref","first-page":"108258","DOI":"10.1016\/j.sigpro.2021.108258","article-title":"A family of affine projection-type least lncosh algorithms and their step-size optimization","volume":"189","author":"Xing","year":"2021","journal-title":"Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0042","doi-asserted-by":"crossref","first-page":"107542","DOI":"10.1016\/j.sigpro.2020.107542","article-title":"Variable step-size weighted zero-attracting sign algorithm","volume":"172","author":"Chen","year":"2020","journal-title":"Signal Process."},{"issue":"5","key":"10.1016\/j.sigpro.2022.108512_bib0043","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1109\/LSP.2016.2547219","article-title":"Steady-state behavior of general complex-valued diffusion LMS strategies","volume":"23","author":"Kanna","year":"2016","journal-title":"IEEE Signal Process. Lett."},{"issue":"8","key":"10.1016\/j.sigpro.2022.108512_bib0044","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1109\/PROC.1976.10286","article-title":"Stationary and nonstationary learning characteristics of the LMS adaptive filter","volume":"64","author":"Widrow","year":"1976","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.sigpro.2022.108512_bib0045","series-title":"Adaptive Filters","author":"Sayed","year":"2008"},{"key":"10.1016\/j.sigpro.2022.108512_bib0046","doi-asserted-by":"crossref","first-page":"108217","DOI":"10.1016\/j.sigpro.2021.108217","article-title":"Selective partial-update augmented complex-valued LMS algorithm and its performance analysis","volume":"188","author":"Qing","year":"2021","journal-title":"Signal Process."},{"issue":"7","key":"10.1016\/j.sigpro.2022.108512_bib0047","doi-asserted-by":"crossref","first-page":"1808","DOI":"10.1109\/TSP.2015.2401533","article-title":"A variable step-size diffusion LMS algorithm for distributed estimation","volume":"63","author":"Lee","year":"2015","journal-title":"IEEE Trans. Signal Process."},{"issue":"8","key":"10.1016\/j.sigpro.2022.108512_bib0048","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1109\/LSP.2019.2925957","article-title":"Performance analysis of shrinkage linear complex-valued LMS algorithm","volume":"26","author":"Shi","year":"2019","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.sigpro.2022.108512_bib0049","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.sigpro.2019.06.029","article-title":"Variable step-size widely linear complex-valued NLMS algorithm and its performance analysis","volume":"165","author":"Shi","year":"2019","journal-title":"Signal Process."},{"issue":"7","key":"10.1016\/j.sigpro.2022.108512_bib0050","first-page":"1364","article-title":"Analysis of least stochastic entropy adaptive filters for noncircular Gaussian signals","volume":"67","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Circuits Syst. II Exp. Briefs"},{"issue":"22","key":"10.1016\/j.sigpro.2022.108512_bib0051","doi-asserted-by":"crossref","first-page":"5675","DOI":"10.1109\/TSP.2013.2280444","article-title":"Distributed adaptive networks: a graphical evolutionary game-theoretic view","volume":"61","author":"Jiang","year":"2013","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/j.sigpro.2022.108512_bib0052","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/0024-3795(91)90332-Q","article-title":"Block Kronecker products and the vecb operator","volume":"149","author":"H. Koning","year":"1991","journal-title":"Linear Algebra Appl."}],"container-title":["Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168422000597?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168422000597?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T00:46:10Z","timestamp":1711586770000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165168422000597"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":52,"alternative-id":["S0165168422000597"],"URL":"https:\/\/doi.org\/10.1016\/j.sigpro.2022.108512","relation":{},"ISSN":["0165-1684"],"issn-type":[{"value":"0165-1684","type":"print"}],"subject":[],"published":{"date-parts":[[2022,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An improved mean-square performance analysis of the diffusion least stochastic entropy algorithm","name":"articletitle","label":"Article Title"},{"value":"Signal Processing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.sigpro.2022.108512","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"108512"}}