{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T20:16:55Z","timestamp":1767212215512,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,12,21]],"date-time":"2018-12-21T00:00:00Z","timestamp":1545350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does not bring enough innovation, data-selection strategies can be employed to reduce the computational complexity cost and, in many cases, improve the estimation accuracy. In this paper, we explore some adaptive filtering algorithms whose characteristic features are their fast convergence and data selection. These algorithms incorporate a prescribed data-selection strategy and are compared in distinct applications environments. The simulation results include both synthetic and real data.<\/jats:p>","DOI":"10.3390\/a12010004","type":"journal-article","created":{"date-parts":[[2018,12,21]],"date-time":"2018-12-21T12:14:49Z","timestamp":1545394489000},"page":"4","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["On Fast Converging Data-Selective Adaptive Filtering"],"prefix":"10.3390","volume":"12","author":[{"given":"Marcele O. K.","family":"Mendon\u00e7a","sequence":"first","affiliation":[{"name":"Signals, Multimedia, and Telecommunications Lab., Universidade Federal do Rio de Janeiro DEL\/Poli &PEE\/COPPE\/UFRJ, P.O. Box 68504, Rio de Janeiro RJ 21941-972, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathas O.","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Signals, Multimedia, and Telecommunications Lab., Universidade Federal do Rio de Janeiro DEL\/Poli &PEE\/COPPE\/UFRJ, P.O. Box 68504, Rio de Janeiro RJ 21941-972, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos G.","family":"Tsinos","sequence":"additional","affiliation":[{"name":"SnT-Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg,4365 Luxembourg City, Luxembourg"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1272-7368","authenticated-orcid":false,"given":"Paulo S R","family":"Diniz","sequence":"additional","affiliation":[{"name":"Signals, Multimedia, and Telecommunications Lab., Universidade Federal do Rio de Janeiro DEL\/Poli &PEE\/COPPE\/UFRJ, P.O. Box 68504, Rio de Janeiro RJ 21941-972, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9964-9699","authenticated-orcid":false,"given":"Tadeu N.","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Tadeu N. Ferreira, Fluminense Federal University, Engineering School, R. Passo da Patria, 156, Room E-406, Niteroi RJ 24210-240, Brazi"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4239","DOI":"10.1109\/TSP.2018.2847657","article-title":"On Data-Selective Adaptive Filtering","volume":"66","author":"Diniz","year":"2018","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1109\/78.370617","article-title":"Analysis of LMS-Newton adaptive filtering algorithms with variable convergence factor","volume":"43","author":"Diniz","year":"1995","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1109\/82.644046","article-title":"A new quasi-Newton adaptive filtering algorithm","volume":"44","author":"Antoniou","year":"1997","journal-title":"IEEE Trans. Circuits Syst. II Analog. Digit. Signal Process."},{"key":"ref_4","unstructured":"Antoniou, A., and Lu, W.S. (2007). Practical Optimization\u2014Algorithms and Engineering Applications, Springer."},{"key":"ref_5","unstructured":"Fletcher, R. (2013). Practical Methods of Optimization, John Wiley & Sons. [2nd ed.]."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1109\/97.883366","article-title":"The constrained conjugate gradient algorithm","volume":"7","year":"2000","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Hull, A.W., and Jenkins, W.K. (1991, January 11\u201314). Preconditioned conjugate gradient methods for adaptive filtering. Proceedings of the IEEE International Sympoisum on Circuits and Systems, Singapore.","DOI":"10.1109\/ISCAS.1991.176392"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1109\/TAES.2014.130419","article-title":"Conjugate gradient adaptive matched filter","volume":"51","author":"Chen","year":"2015","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"6046","DOI":"10.1109\/TSP.2016.2605075","article-title":"Robust Adaptive Beamforming Based on Conjugate Gradient Algorithms","volume":"4","author":"Zhang","year":"2016","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1652","DOI":"10.1109\/78.143437","article-title":"A fast quasi-Newton adaptive filtering algorithm","volume":"40","author":"Marshall","year":"1992","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1109\/79.774932","article-title":"Efficient least squares adaptive algorithms for FIR transversal filtering","volume":"16","author":"Glentis","year":"1999","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1987","DOI":"10.1109\/78.611195","article-title":"Fast LMS\/Newton algorithms based on autoregressive modeling and their application to acoustic echo cancellation","volume":"45","year":"1997","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_13","first-page":"27","article-title":"The Variable Step-Size Gauss-Seidel Pseudo Affine Projection Algorithm","volume":"3","author":"Albu","year":"2009","journal-title":"Int. J. Math. Comput. Phys. Electr. Comput. Eng."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Tsinos, C.G., and Diniz, P.S.R. (2019). Data-Selective Lms-Newton And Lms-Quasi-Newton Algorithms, under review.","DOI":"10.1109\/ICASSP.2019.8683076"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Diniz, P.S.R., Mendon\u00e7a, M.O.K., Ferreira, J.O., and Ferreira, T.N. (2018, January 3\u20137). Data-Selective Conjugate Gradient Algorithm. Proceedings of the Eusipco: European Signal Processing Conference, Rome, Italy.","DOI":"10.23919\/EUSIPCO.2018.8553023"},{"key":"ref_16","unstructured":"Papoulis, A., and Pillai, S.U. (2002). Probability, Random Variables, and Stochastic Processes, McGraw-Hill Education."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Miller, S., and Childers, D. (2012). Probability, and Random Processes, Academic Press. [2nd ed.].","DOI":"10.1016\/B978-0-12-386981-4.50011-4"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1811","DOI":"10.1007\/s00034-012-9545-4","article-title":"Steady-state MSE performance of the set-membership affine projection algorithm","volume":"32","author":"Lima","year":"2013","journal-title":"Circuits Syst. Signal Process."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1109\/78.823968","article-title":"Analysis of conjugate gradient algorithms for adaptive filtering","volume":"48","author":"Chang","year":"2000","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_20","unstructured":"SPIB (2018, November 29). Signal Processing Information Base. Available online: http:\/\/spib.linse.ufsc.br\/microwave.html."},{"key":"ref_21","unstructured":"Google (2018, November 29). RE < C: Surface Level Wind Data Collection, Google Code. Available online: http:\/\/code.google.com\/p\/google-rec-csp\/."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/12\/1\/4\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:35:36Z","timestamp":1760196936000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/12\/1\/4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,21]]},"references-count":21,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,1]]}},"alternative-id":["a12010004"],"URL":"https:\/\/doi.org\/10.3390\/a12010004","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2018,12,21]]}}}