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Design of Tunable Analog Filters Using Memristive Crossbars
Tunable front-end filters are necessary in wireless systems that support multiple frequency bands. N-path filters have the potential for wide tuning ranges, but require multiple high-frequency mixing clocks and suffer from harmonic responses. Another option is digital filtering. However, this requir...
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creator | Korkmaz, Anil He, Chaoyi Katehi, Linda P. B. Williams, R. Stanley Palermo, Samuel |
description | Tunable front-end filters are necessary in wireless systems that support multiple frequency bands. N-path filters have the potential for wide tuning ranges, but require multiple high-frequency mixing clocks and suffer from harmonic responses. Another option is digital filtering. However, this requires high-speed analog-to-digital converters and the time complexity to perform Discrete Fourier Transform (DFT) and Inverse Discrete Fourier Transform (IDFT) operations using conventional digital computers is O(N 2 ). Conversely, memristor crossbars have experimentally demonstrated the ability to perform various signal processing tasks, including Discrete Cosine Transform (DCT), in one time-step. In this work, this has been taken a step further by presenting full DFT and IDFT operations using memristive crossbars and proposes the implementation of novel continuous-time tunable analog filters by applying filter coefficients in between these DFT and IDFT crossbars. This highly scalable new method of filtering leverages advantages found both in conventional digital and analog filters and allows any digital filter to be implemented in the analog domain with a filter order as large as half the utilized crossbar size. The proposed architecture allows for the generation of arbitrary filter functions with tunable corner (or center) frequencies and bandwidths from 0.2-20GHz. Stopband attenuation greater than 40dB is achieved with as low as 2-bit memristor precision, while close to 80dB is possible with 8-bit precision. The filter system consumes 106mW to support the 20GHz frequency range, resulting in a 5.3mW/GHz energy metric. |
doi_str_mv | 10.1109/ISCAS51556.2021.9401275 |
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B.</creatorcontrib><creatorcontrib>Williams, R. Stanley</creatorcontrib><creatorcontrib>Palermo, Samuel</creatorcontrib><title>Design of Tunable Analog Filters Using Memristive Crossbars</title><title>2021 IEEE International Symposium on Circuits and Systems (ISCAS)</title><addtitle>ISCAS51556</addtitle><description>Tunable front-end filters are necessary in wireless systems that support multiple frequency bands. N-path filters have the potential for wide tuning ranges, but require multiple high-frequency mixing clocks and suffer from harmonic responses. Another option is digital filtering. However, this requires high-speed analog-to-digital converters and the time complexity to perform Discrete Fourier Transform (DFT) and Inverse Discrete Fourier Transform (IDFT) operations using conventional digital computers is O(N 2 ). Conversely, memristor crossbars have experimentally demonstrated the ability to perform various signal processing tasks, including Discrete Cosine Transform (DCT), in one time-step. In this work, this has been taken a step further by presenting full DFT and IDFT operations using memristive crossbars and proposes the implementation of novel continuous-time tunable analog filters by applying filter coefficients in between these DFT and IDFT crossbars. This highly scalable new method of filtering leverages advantages found both in conventional digital and analog filters and allows any digital filter to be implemented in the analog domain with a filter order as large as half the utilized crossbar size. The proposed architecture allows for the generation of arbitrary filter functions with tunable corner (or center) frequencies and bandwidths from 0.2-20GHz. Stopband attenuation greater than 40dB is achieved with as low as 2-bit memristor precision, while close to 80dB is possible with 8-bit precision. The filter system consumes 106mW to support the 20GHz frequency range, resulting in a 5.3mW/GHz energy metric.</description><subject>Analog filter</subject><subject>crossbar</subject><subject>DFT</subject><subject>digital filter</subject><subject>Digital filters</subject><subject>Discrete Fourier transforms</subject><subject>Filtering</subject><subject>Harmonic analysis</subject><subject>memristor</subject><subject>Memristors</subject><subject>Power harmonic filters</subject><subject>tunable filter</subject><subject>Wireless communication</subject><issn>2158-1525</issn><issn>2158-1525</issn><isbn>9781728192017</isbn><isbn>1728192013</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpNj8tOwzAQAC0eEqX0CzjgH0jxbrxxLE5RaKFSEYe258pJNpFRmiA7IPH3HOiB0xxGGmmEeAC1BFD2cbMrix0BUbZEhbC0WgEauhAzBMoTIKRLsbAmB4M5WFRgrv65G3Eb44dSqFSGM_H0zNF3gxxbuf8aXNWzLAbXj51c-37iEOUh-qGTb3wKPk7-m2UZxhgrF-KduG5dH3lx5lwc1qt9-Zps3182ZbFNPKp0SrTF2iI4Jq60adKcuCZDZI1uQOetQ6vQ1W1bYWaN4tyyrutMN4gEdZulc3H_1_XMfPwM_uTCz_H8nf4CQtRKRw</recordid><startdate>202105</startdate><enddate>202105</enddate><creator>Korkmaz, Anil</creator><creator>He, Chaoyi</creator><creator>Katehi, Linda P. B.</creator><creator>Williams, R. Stanley</creator><creator>Palermo, Samuel</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>202105</creationdate><title>Design of Tunable Analog Filters Using Memristive Crossbars</title><author>Korkmaz, Anil ; He, Chaoyi ; Katehi, Linda P. B. ; Williams, R. Stanley ; Palermo, Samuel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-492c921ae5eb47d385ec5755974d148fa2902acffb26970e89e4cc64d2251cf63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analog filter</topic><topic>crossbar</topic><topic>DFT</topic><topic>digital filter</topic><topic>Digital filters</topic><topic>Discrete Fourier transforms</topic><topic>Filtering</topic><topic>Harmonic analysis</topic><topic>memristor</topic><topic>Memristors</topic><topic>Power harmonic filters</topic><topic>tunable filter</topic><topic>Wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>Korkmaz, Anil</creatorcontrib><creatorcontrib>He, Chaoyi</creatorcontrib><creatorcontrib>Katehi, Linda P. B.</creatorcontrib><creatorcontrib>Williams, R. Stanley</creatorcontrib><creatorcontrib>Palermo, Samuel</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 Xplore Digital Library</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Korkmaz, Anil</au><au>He, Chaoyi</au><au>Katehi, Linda P. B.</au><au>Williams, R. Stanley</au><au>Palermo, Samuel</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Design of Tunable Analog Filters Using Memristive Crossbars</atitle><btitle>2021 IEEE International Symposium on Circuits and Systems (ISCAS)</btitle><stitle>ISCAS51556</stitle><date>2021-05</date><risdate>2021</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>2158-1525</issn><eissn>2158-1525</eissn><isbn>9781728192017</isbn><isbn>1728192013</isbn><abstract>Tunable front-end filters are necessary in wireless systems that support multiple frequency bands. N-path filters have the potential for wide tuning ranges, but require multiple high-frequency mixing clocks and suffer from harmonic responses. Another option is digital filtering. However, this requires high-speed analog-to-digital converters and the time complexity to perform Discrete Fourier Transform (DFT) and Inverse Discrete Fourier Transform (IDFT) operations using conventional digital computers is O(N 2 ). Conversely, memristor crossbars have experimentally demonstrated the ability to perform various signal processing tasks, including Discrete Cosine Transform (DCT), in one time-step. In this work, this has been taken a step further by presenting full DFT and IDFT operations using memristive crossbars and proposes the implementation of novel continuous-time tunable analog filters by applying filter coefficients in between these DFT and IDFT crossbars. This highly scalable new method of filtering leverages advantages found both in conventional digital and analog filters and allows any digital filter to be implemented in the analog domain with a filter order as large as half the utilized crossbar size. The proposed architecture allows for the generation of arbitrary filter functions with tunable corner (or center) frequencies and bandwidths from 0.2-20GHz. Stopband attenuation greater than 40dB is achieved with as low as 2-bit memristor precision, while close to 80dB is possible with 8-bit precision. The filter system consumes 106mW to support the 20GHz frequency range, resulting in a 5.3mW/GHz energy metric.</abstract><pub>IEEE</pub><doi>10.1109/ISCAS51556.2021.9401275</doi><tpages>5</tpages></addata></record> |
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source | IEEE Xplore All Conference Series |
subjects | Analog filter crossbar DFT digital filter Digital filters Discrete Fourier transforms Filtering Harmonic analysis memristor Memristors Power harmonic filters tunable filter Wireless communication |
title | Design of Tunable Analog Filters Using Memristive Crossbars |
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