{"version":"1.0","provider_name":"Learning and NonLinear Models","provider_url":"https:\/\/sbia.org.br\/lnlm","author_name":"sbicbr","author_url":"https:\/\/sbia.org.br\/lnlm\/author\/sbicbr\/","title":"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition - Learning and NonLinear Models","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"p7GseNKYI2\"><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/\">Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/embed\/#?secret=p7GseNKYI2\" width=\"600\" height=\"338\" title=\"&#8220;Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition&#8221; &#8212; Learning and NonLinear Models\" data-secret=\"p7GseNKYI2\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/sbia.org.br\/lnlm\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"Carmo, R.M., Tarrataca, L.,\u00a0Colares, J.,\u00a0Henriques, F.R., Haddad, D.B.,\u00a0 Guedes, R.M. Abstract:\u00a0Wireless Sensor Networks (WSN) are of significant importance with increasingly diverse and viable\u00a0applications. They gained even more traction after the IEEE 802.15.4 standard was defined. Distributed adaptive\u00a0filtering algorithms have added Read More ...","thumbnail_url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg"}