[ADC Characterization in Time Domain] Frequency Estimation to Linearize Time-Domain Analysis of A/D Converters
Time-domain analysis is a powerful tool for testing A/D converters (ADCs), particularly by incoherent sampling. This sampling is encountered for instance in real application and systems where the clock is generated by an on-board crystal oscillator. In the case of the sine-wave model for ADC output...
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| Veröffentlicht in: | IEEE transactions on instrumentation and measurement 2006-10, Vol.55 (5), p.1536-1545 |
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| container_title | IEEE transactions on instrumentation and measurement |
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| creator | Dallet, D. Slepicka, D. Berthoumieu, Y. Haddadi, D. Marchegay, P. |
| description | Time-domain analysis is a powerful tool for testing A/D converters (ADCs), particularly by incoherent sampling. This sampling is encountered for instance in real application and systems where the clock is generated by an on-board crystal oscillator. In the case of the sine-wave model for ADC output samples, fitting a sine-wave function to the data record is nonlinear with respect to the frequency. To overcome the convergence problem, the authors propose some alternative methods based on frequency estimation by means of fast Fourier transform and eigenanalysis of the autocorrelation matrix. This leads to a simple linear problem. The effectiveness of these methods is proven on both simulation and experimental results |
| doi_str_mv | 10.1109/TIM.2006.880274 |
| format | Article |
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This sampling is encountered for instance in real application and systems where the clock is generated by an on-board crystal oscillator. In the case of the sine-wave model for ADC output samples, fitting a sine-wave function to the data record is nonlinear with respect to the frequency. To overcome the convergence problem, the authors propose some alternative methods based on frequency estimation by means of fast Fourier transform and eigenanalysis of the autocorrelation matrix. This leads to a simple linear problem. The effectiveness of these methods is proven on both simulation and experimental results</description><identifier>ISSN: 0018-9456</identifier><identifier>EISSN: 1557-9662</identifier><identifier>DOI: 10.1109/TIM.2006.880274</identifier><identifier>CODEN: IEIMAO</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>A/D converter (ADC) ; Autocorrelation ; Clocks ; Convergence ; Converters ; Engineering Sciences ; estimation of signal parameters by rotation invariance techniques (ESPRIT) estimator ; fast Fourier transform (FFT) ; Fast Fourier transforms ; Fourier transforms ; Frequency estimation ; Instrumentation ; Mathematical models ; Micro and nanotechnologies ; Microelectronics ; Oscillators ; parametric spectral analysis ; Power system modeling ; root-multiple emitter location and signal parameter estimation (MUSIC) estimator ; Sampling ; Sampling methods ; Simulation ; Testing ; Time domain analysis</subject><ispartof>IEEE transactions on instrumentation and measurement, 2006-10, Vol.55 (5), p.1536-1545</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2006</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c354t-d7c4ca95a09c779845f8ffe8370e594eabab59026cbe076b3ca0a39e4284696d3</citedby><cites>FETCH-LOGICAL-c354t-d7c4ca95a09c779845f8ffe8370e594eabab59026cbe076b3ca0a39e4284696d3</cites><orcidid>0000-0002-7559-0602</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1703897$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1703897$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://hal.science/hal-00180584$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Dallet, D.</creatorcontrib><creatorcontrib>Slepicka, D.</creatorcontrib><creatorcontrib>Berthoumieu, Y.</creatorcontrib><creatorcontrib>Haddadi, D.</creatorcontrib><creatorcontrib>Marchegay, P.</creatorcontrib><title>[ADC Characterization in Time Domain] Frequency Estimation to Linearize Time-Domain Analysis of A/D Converters</title><title>IEEE transactions on instrumentation and measurement</title><addtitle>TIM</addtitle><description>Time-domain analysis is a powerful tool for testing A/D converters (ADCs), particularly by incoherent sampling. This sampling is encountered for instance in real application and systems where the clock is generated by an on-board crystal oscillator. In the case of the sine-wave model for ADC output samples, fitting a sine-wave function to the data record is nonlinear with respect to the frequency. To overcome the convergence problem, the authors propose some alternative methods based on frequency estimation by means of fast Fourier transform and eigenanalysis of the autocorrelation matrix. This leads to a simple linear problem. The effectiveness of these methods is proven on both simulation and experimental results</description><subject>A/D converter (ADC)</subject><subject>Autocorrelation</subject><subject>Clocks</subject><subject>Convergence</subject><subject>Converters</subject><subject>Engineering Sciences</subject><subject>estimation of signal parameters by rotation invariance techniques (ESPRIT) estimator</subject><subject>fast Fourier transform (FFT)</subject><subject>Fast Fourier transforms</subject><subject>Fourier transforms</subject><subject>Frequency estimation</subject><subject>Instrumentation</subject><subject>Mathematical models</subject><subject>Micro and nanotechnologies</subject><subject>Microelectronics</subject><subject>Oscillators</subject><subject>parametric spectral analysis</subject><subject>Power system modeling</subject><subject>root-multiple emitter location and signal parameter estimation (MUSIC) estimator</subject><subject>Sampling</subject><subject>Sampling methods</subject><subject>Simulation</subject><subject>Testing</subject><subject>Time domain analysis</subject><issn>0018-9456</issn><issn>1557-9662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkc2LFDEQxYMoOK6ePXgJXsRDz1R35_PY9OwXjHgZTyIhk61ms_Qka9KzMP71pu1FwVOg-L1XefUIeV_Duq5Bb_a3X9YNgFgrBY1kL8iq5lxWWojmJVkB1KrSjIvX5E3ODwAgBZMrEr5325729zZZN2Hyv-zkY6A-0L0_It3Go_XhB71K-POEwZ3pZZ78cYGmSHc-oC0q_INXC067YMdz9pnGgXabLe1jeMJU7PNb8mqwY8Z3z-8F-XZ1ue9vqt3X69u-21Wu5Wyq7qRjzmpuQTsptWJ8UMOAqpWAXDO0B3vgGhrhDliCHFpnwbYaWaOY0OKuvSCfF997O5rHVH6cziZab266nZln8z2AK_ZUF_bTwj6mWELmyRx9djiONmA8ZaOUbpWqpS7kx__Ih3hKJWyBBC_nbvhst1kgl2LOCYe_-2swc1OmNGXmpszSVFF8WBQeEf_RElqlZfsbTwCN3g</recordid><startdate>20061001</startdate><enddate>20061001</enddate><creator>Dallet, D.</creator><creator>Slepicka, D.</creator><creator>Berthoumieu, Y.</creator><creator>Haddadi, D.</creator><creator>Marchegay, P.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | A/D converter (ADC) Autocorrelation Clocks Convergence Converters Engineering Sciences estimation of signal parameters by rotation invariance techniques (ESPRIT) estimator fast Fourier transform (FFT) Fast Fourier transforms Fourier transforms Frequency estimation Instrumentation Mathematical models Micro and nanotechnologies Microelectronics Oscillators parametric spectral analysis Power system modeling root-multiple emitter location and signal parameter estimation (MUSIC) estimator Sampling Sampling methods Simulation Testing Time domain analysis |
| title | [ADC Characterization in Time Domain] Frequency Estimation to Linearize Time-Domain Analysis of A/D Converters |
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