A multi-modal and tunable Radial-Basis-Funtion circuit with supply and temperature compensation

We propose an analog Radial-Basis-Function (RBF) circuit that generates 4 different types of RBFs, which are spline, Gaussian, multi-quadratic, and log-like spline curves. Moreover, the proposed RBF circuit is designed to have high tunability on centers, heights, and widths. The proposed RBF circuit...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kyuho Lee, Junyoung Park, Gyeonghoon Kim, Injoon Hong, Hoi-Jun Yoo
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1611
container_issue
container_start_page 1608
container_title
container_volume
creator Kyuho Lee
Junyoung Park
Gyeonghoon Kim
Injoon Hong
Hoi-Jun Yoo
description We propose an analog Radial-Basis-Function (RBF) circuit that generates 4 different types of RBFs, which are spline, Gaussian, multi-quadratic, and log-like spline curves. Moreover, the proposed RBF circuit is designed to have high tunability on centers, heights, and widths. The proposed RBF circuit is also robust to both temperature variation (-37~87□C) and supply voltage variation (1~2V). The sum of area and power consumption of each RBF from 3 different previous works is 13, 622μm 2 and 121μW, respectively. On the other hand, the proposed circuit occupies only 1,050μm 2 and consumes 10.5μW which are only 13% and 11.5%, respectively. For its verification, an analog/digital mixed-mode RBF Neural Network (RBFNN) classifier is designed which adopted the proposed RBF circuit.
doi_str_mv 10.1109/ISCAS.2013.6572169
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6572169</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6572169</ieee_id><sourcerecordid>6572169</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-1d579a758a9de818e9e7fe42bd9031ac95af51c6252883e6f9de4f37429fc5373</originalsourceid><addsrcrecordid>eNpVkMtKAzEYheMNLLUvoJu8QGr-ZHJb1sFqoSBYXZe_MxmMzI1JBunbO9JuXJ0D53xncQi5B74E4O5xs8tXu6XgIJdaGQHaXZCFMxYybaQyGvQlmQlQloES6upfxt01mXFhgGWSi1uyiPGbcz7tahBmRvYr2ox1CqzpSqwptiVNY4uH2tN3LAPW7AljiGw9til0LS3CUIwh0Z-Qvmgc-74-niDf9H7ANA6eFt3k24h_wB25qbCOfnHWOflcP3_kr2z79rLJV1sWwKjEoFTGoVEWXektWO-8qXwmDqXjErBwCisFhRZKWCu9rqZaVkmTCVcVSho5Jw-n3eC93_dDaHA47s93yV8RpVra</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A multi-modal and tunable Radial-Basis-Funtion circuit with supply and temperature compensation</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Kyuho Lee ; Junyoung Park ; Gyeonghoon Kim ; Injoon Hong ; Hoi-Jun Yoo</creator><creatorcontrib>Kyuho Lee ; Junyoung Park ; Gyeonghoon Kim ; Injoon Hong ; Hoi-Jun Yoo</creatorcontrib><description>We propose an analog Radial-Basis-Function (RBF) circuit that generates 4 different types of RBFs, which are spline, Gaussian, multi-quadratic, and log-like spline curves. Moreover, the proposed RBF circuit is designed to have high tunability on centers, heights, and widths. The proposed RBF circuit is also robust to both temperature variation (-37~87□C) and supply voltage variation (1~2V). The sum of area and power consumption of each RBF from 3 different previous works is 13, 622μm 2 and 121μW, respectively. On the other hand, the proposed circuit occupies only 1,050μm 2 and consumes 10.5μW which are only 13% and 11.5%, respectively. For its verification, an analog/digital mixed-mode RBF Neural Network (RBFNN) classifier is designed which adopted the proposed RBF circuit.</description><identifier>ISSN: 0271-4302</identifier><identifier>ISBN: 9781467357609</identifier><identifier>ISBN: 146735760X</identifier><identifier>EISSN: 2158-1525</identifier><identifier>EISBN: 9781467357616</identifier><identifier>EISBN: 1467357618</identifier><identifier>EISBN: 9781467357623</identifier><identifier>EISBN: 1467357626</identifier><identifier>DOI: 10.1109/ISCAS.2013.6572169</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; CMOS integrated circuits ; Interpolation ; Neural networks ; Robustness ; Shape ; Switches</subject><ispartof>2013 IEEE International Symposium on Circuits and Systems (ISCAS), 2013, p.1608-1611</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6572169$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6572169$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kyuho Lee</creatorcontrib><creatorcontrib>Junyoung Park</creatorcontrib><creatorcontrib>Gyeonghoon Kim</creatorcontrib><creatorcontrib>Injoon Hong</creatorcontrib><creatorcontrib>Hoi-Jun Yoo</creatorcontrib><title>A multi-modal and tunable Radial-Basis-Funtion circuit with supply and temperature compensation</title><title>2013 IEEE International Symposium on Circuits and Systems (ISCAS)</title><addtitle>ISCAS</addtitle><description>We propose an analog Radial-Basis-Function (RBF) circuit that generates 4 different types of RBFs, which are spline, Gaussian, multi-quadratic, and log-like spline curves. Moreover, the proposed RBF circuit is designed to have high tunability on centers, heights, and widths. The proposed RBF circuit is also robust to both temperature variation (-37~87□C) and supply voltage variation (1~2V). The sum of area and power consumption of each RBF from 3 different previous works is 13, 622μm 2 and 121μW, respectively. On the other hand, the proposed circuit occupies only 1,050μm 2 and consumes 10.5μW which are only 13% and 11.5%, respectively. For its verification, an analog/digital mixed-mode RBF Neural Network (RBFNN) classifier is designed which adopted the proposed RBF circuit.</description><subject>Accuracy</subject><subject>CMOS integrated circuits</subject><subject>Interpolation</subject><subject>Neural networks</subject><subject>Robustness</subject><subject>Shape</subject><subject>Switches</subject><issn>0271-4302</issn><issn>2158-1525</issn><isbn>9781467357609</isbn><isbn>146735760X</isbn><isbn>9781467357616</isbn><isbn>1467357618</isbn><isbn>9781467357623</isbn><isbn>1467357626</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtKAzEYheMNLLUvoJu8QGr-ZHJb1sFqoSBYXZe_MxmMzI1JBunbO9JuXJ0D53xncQi5B74E4O5xs8tXu6XgIJdaGQHaXZCFMxYybaQyGvQlmQlQloES6upfxt01mXFhgGWSi1uyiPGbcz7tahBmRvYr2ox1CqzpSqwptiVNY4uH2tN3LAPW7AljiGw9til0LS3CUIwh0Z-Qvmgc-74-niDf9H7ANA6eFt3k24h_wB25qbCOfnHWOflcP3_kr2z79rLJV1sWwKjEoFTGoVEWXektWO-8qXwmDqXjErBwCisFhRZKWCu9rqZaVkmTCVcVSho5Jw-n3eC93_dDaHA47s93yV8RpVra</recordid><startdate>201305</startdate><enddate>201305</enddate><creator>Kyuho Lee</creator><creator>Junyoung Park</creator><creator>Gyeonghoon Kim</creator><creator>Injoon Hong</creator><creator>Hoi-Jun Yoo</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201305</creationdate><title>A multi-modal and tunable Radial-Basis-Funtion circuit with supply and temperature compensation</title><author>Kyuho Lee ; Junyoung Park ; Gyeonghoon Kim ; Injoon Hong ; Hoi-Jun Yoo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-1d579a758a9de818e9e7fe42bd9031ac95af51c6252883e6f9de4f37429fc5373</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>CMOS integrated circuits</topic><topic>Interpolation</topic><topic>Neural networks</topic><topic>Robustness</topic><topic>Shape</topic><topic>Switches</topic><toplevel>online_resources</toplevel><creatorcontrib>Kyuho Lee</creatorcontrib><creatorcontrib>Junyoung Park</creatorcontrib><creatorcontrib>Gyeonghoon Kim</creatorcontrib><creatorcontrib>Injoon Hong</creatorcontrib><creatorcontrib>Hoi-Jun Yoo</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kyuho Lee</au><au>Junyoung Park</au><au>Gyeonghoon Kim</au><au>Injoon Hong</au><au>Hoi-Jun Yoo</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A multi-modal and tunable Radial-Basis-Funtion circuit with supply and temperature compensation</atitle><btitle>2013 IEEE International Symposium on Circuits and Systems (ISCAS)</btitle><stitle>ISCAS</stitle><date>2013-05</date><risdate>2013</risdate><spage>1608</spage><epage>1611</epage><pages>1608-1611</pages><issn>0271-4302</issn><eissn>2158-1525</eissn><isbn>9781467357609</isbn><isbn>146735760X</isbn><eisbn>9781467357616</eisbn><eisbn>1467357618</eisbn><eisbn>9781467357623</eisbn><eisbn>1467357626</eisbn><abstract>We propose an analog Radial-Basis-Function (RBF) circuit that generates 4 different types of RBFs, which are spline, Gaussian, multi-quadratic, and log-like spline curves. Moreover, the proposed RBF circuit is designed to have high tunability on centers, heights, and widths. The proposed RBF circuit is also robust to both temperature variation (-37~87□C) and supply voltage variation (1~2V). The sum of area and power consumption of each RBF from 3 different previous works is 13, 622μm 2 and 121μW, respectively. On the other hand, the proposed circuit occupies only 1,050μm 2 and consumes 10.5μW which are only 13% and 11.5%, respectively. For its verification, an analog/digital mixed-mode RBF Neural Network (RBFNN) classifier is designed which adopted the proposed RBF circuit.</abstract><pub>IEEE</pub><doi>10.1109/ISCAS.2013.6572169</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0271-4302
ispartof 2013 IEEE International Symposium on Circuits and Systems (ISCAS), 2013, p.1608-1611
issn 0271-4302
2158-1525
language eng
recordid cdi_ieee_primary_6572169
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
CMOS integrated circuits
Interpolation
Neural networks
Robustness
Shape
Switches
title A multi-modal and tunable Radial-Basis-Funtion circuit with supply and temperature compensation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T09%3A29%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20multi-modal%20and%20tunable%20Radial-Basis-Funtion%20circuit%20with%20supply%20and%20temperature%20compensation&rft.btitle=2013%20IEEE%20International%20Symposium%20on%20Circuits%20and%20Systems%20(ISCAS)&rft.au=Kyuho%20Lee&rft.date=2013-05&rft.spage=1608&rft.epage=1611&rft.pages=1608-1611&rft.issn=0271-4302&rft.eissn=2158-1525&rft.isbn=9781467357609&rft.isbn_list=146735760X&rft_id=info:doi/10.1109/ISCAS.2013.6572169&rft_dat=%3Cieee_6IE%3E6572169%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781467357616&rft.eisbn_list=1467357618&rft.eisbn_list=9781467357623&rft.eisbn_list=1467357626&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6572169&rfr_iscdi=true