{"id":42577,"date":"2020-09-24T15:51:40","date_gmt":"2020-09-24T13:51:40","guid":{"rendered":"https:\/\/www.iemn.fr\/?p=42577"},"modified":"2020-12-15T11:10:54","modified_gmt":"2020-12-15T09:10:54","slug":"42577","status":"publish","type":"post","link":"https:\/\/www.iemn.fr\/en\/actualites\/42577.html","title":{"rendered":"Thesis \u00c1ngel de Dios Gonzales Santos - Ultra-low power continuous-time digital signal processing circuits in 28nm FDSOI technology for audio applications"},"content":{"rendered":"<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-sxr20h-1b9414b6d49071afcb343c5a18fdde7a\">\n.flex_column.av-sxr20h-1b9414b6d49071afcb343c5a18fdde7a{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-sxr20h-1b9414b6d49071afcb343c5a18fdde7a av_one_full  avia-builder-el-0  avia-builder-el-no-sibling  first flex_column_div av-zero-column-padding'     ><section  class='av_textblock_section av-kfgvlngi-66a2f388735c1ee977d1c1c2117a26d0'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><h5 style=\"text-align: center;\">Soutenance de th\u00e8se d\u2019\u00c1ngel de Dios GONZALEZ SANTOS<\/h5>\n<blockquote>\n<p><strong>Mardi 29 septembre 2020 \u00e0 10h00<br \/>\n<\/strong>Amphith\u00e9\u00e2tre JND de l\u2019ISEN \u2013 41, Bd Vauban, Lille<\/p>\n<\/blockquote>\n<h5><strong><span style=\"color: #800000;\">Jury :<\/span><\/strong><\/h5>\n<ul>\n<li>Monsieur Andreas Kaiser, Universit\u00e9 de Lille, Directeur de th\u00e8se<\/li>\n<li>Monsieur Dominique Dallet, Universit\u00e9 de Bordeaux \u2013 IMS, Rapporteur<\/li>\n<li>Madame Marie-Minerve Lou\u00ebrat, Sorbonne Universit\u00e9 \u2013 LIP6, Rapporteur<\/li>\n<li>Monsieur Gilles Jacquemod, Universit\u00e9 C\u00f4te d\u2019Azur, Examinateur<\/li>\n<li>Monsieur Andrei Vladimerescu, UC Berkeley \u2013 ISEP, Examinateur<\/li>\n<li>Monsieur Antoine Frapp\u00e9, Yncr\u00e9a Hauts-de-France \u2013 IEMN, Encadrant<\/li>\n<li>Monsieur Philippe Cathelin, STMicroelectronics, Encadrant, Invit\u00e9<\/li>\n<li>Monsieur Benoit Larras, Yncr\u00e9a Hauts-de-France \u2013 IEMN, Invit\u00e9<\/li>\n<\/ul>\n<h5>Summary:<\/h5>\n<p>L\u2019objectif de ce travail est l\u2019\u00e9tude et le d\u00e9veloppement d\u2019un syst\u00e8me d\u2019extraction de caract\u00e9ristiques d\u2019un syst\u00e8me toujours en veille pour l\u2019Internet des Objets. Cette \u00e9tude s\u2019int\u00e9resse \u00e0 des techniques de traitement de signal en temps continu, afin de mitiger les inconv\u00e9nients des impl\u00e9mentations existantes bas\u00e9es sur des techniques analogiques et num\u00e9riques conventionnelles<\/p>\n<p>La cible est l\u2019extraction du contenu spectral d\u2019un signal audio en utilisant une nouvelle architecture bas\u00e9e sur une cascade configurable de filtres \u00e0 r\u00e9ponse impulsionnelle finie en temps continu. Un sch\u00e9ma efficace pour cascader des filtres est obtenu gr\u00e2ce aux techniques propos\u00e9es pour l\u2019\u00e9limination des glitches et du codage delta. Par ailleurs, ce travail introduit une fonction en temps continu pour estimer la puissance instantan\u00e9e dans des bandes de fr\u00e9quences s\u00e9lectionn\u00e9es et construire un spectrogramme \u00e0 la sortie. Le syst\u00e8me propos\u00e9 \u00e0 12-bandes fr\u00e9quentielles a \u00e9t\u00e9 valid\u00e9e par des simulations comportementales.<\/p>\n<p>L\u2019\u00e9l\u00e9ment cl\u00e9 pour l\u2019impl\u00e9mentation de ce syst\u00e8me est un \u00e9l\u00e9ment de d\u00e9lai num\u00e9rique. Un nouvel \u00e9l\u00e9ment de retard a \u00e9t\u00e9 con\u00e7u et fabriqu\u00e9 en technologie 28 nm FDSOI et atteints une plage de d\u00e9lai record entre 30 ns et 97 \u03bcs avec une consommation de puissance de 15fJ\/\u00e9v\u00e9nement. En extrapolant ce r\u00e9sultat, le syst\u00e8me propos\u00e9 atteint une consommation approxim\u00e9e de 2.85 \u03bcW, tandis que la consommation statique est autour de 100 nW dans les p\u00e9riodes o\u00f9 il n\u2019y a pas d\u2019activit\u00e9. Donc, la performance en termes de consommation moyenne d\u2019\u00e9nergie de ce syst\u00e8me surpasse celle des impl\u00e9mentations dans l\u2019\u00e9tat de l\u2019art.<\/p>\n<h5>Abstract:<\/h5>\n<p>The focus of this work is the study and development of a feature extraction system using Continuous-Time Digital Signal Processing (CT DSP) techniques, to mitigate the drawbacks of existing implementations based on traditional analog and digital solutions of always-on monitoring sensors for the Internet of Things (IoT).<\/p>\n<p>The target is to extract the spectral content of an audio signal using a novel architecture based on a cascade of configurable CT DSP Finite Impulse Response (FIR) filters. An efficient cascade scheme is enabled by the proposed glitch elimination and delta encoding techniques. Additionally, this work introduces a CT function to estimate the instantaneous power within selected frequency bands to build an output spectrogram. The proposed 12-band system has been validated using behavioral simulations.<br \/>\nThe key element for the implementation of this system is the digital delay element. A new delay element has been designed and fabricated in 28nm FDSOI technology and achieves a record tuning range from 30 ns to 97 \u03bcs with a power consumption of 15 fJ\/event. By extrapolating this result, the system would have an overall peak power consumption of 2.85 \u03bcW when processing typical female speech, while consuming approximately 100 nW when no events are generated. Thus, the average system power consumption outperforms state-of-the-art feature extraction circuits.<\/p>\n<\/div><\/section><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":42585,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,36],"tags":[],"class_list":["post-42577","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualites","category-articles-temporaires"],"_links":{"self":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/42577","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/comments?post=42577"}],"version-history":[{"count":0,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/42577\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media\/42585"}],"wp:attachment":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media?parent=42577"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/categories?post=42577"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/tags?post=42577"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}