2008
DOI: 10.1109/tcsi.2008.918003
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Analog-to-digital conversion using noise shaping and time encoding

Abstract: Low-voltage CMOS technologies pose new problems in the design of multibit continuous-time sigma-delta modulators. One of these problems is the implementation of the coarse quantizer with an array of voltage comparators. This work presents a novel architecture of multibit continuous-time sigma-delta modulator that employs a time encoding quantizer and irregular sampling instead of a flash analog-to-digital converter. The time-encoding quantizer is based in a modulated oscillator that produces a two-level signal… Show more

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Cited by 49 publications
(39 citation statements)
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“…Time encoding of signal values consists simply in converting amplitude information of an analog signal into time information [2][3][4][5][6][7][8][9][10][11]. A discrete sample of the analog signal is then represented by a time-difference variable as the quantity of time between two events.…”
Section: Encoding Signals In Time Domainmentioning
confidence: 99%
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“…Time encoding of signal values consists simply in converting amplitude information of an analog signal into time information [2][3][4][5][6][7][8][9][10][11]. A discrete sample of the analog signal is then represented by a time-difference variable as the quantity of time between two events.…”
Section: Encoding Signals In Time Domainmentioning
confidence: 99%
“…The conventional sampling is replaced with asynchronous mapping of analog signal value into the time domain. Existing implementations use a level-crossing sampling [14][15][16][17][18], asynchronous Sigma-Delta modulator [6,7], or a hybrid approach [8,19]. The A-ADCs based on the levelcrossing sampling [20,21] are the instantaneous value converters, while the A-ADCs with TEMs serve as the mean value converters due to inherent integration properties [6].…”
Section: Asynchronous Adcsmentioning
confidence: 99%
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“…Traditionally, information has been processed and encoded in the voltage/amplitude domain; however, more recently the encoding of information in time has gained considerable popularity [23] and [6]. Time mode signal processing involves encoding the information in the form of time difference variables using phase modulation.…”
Section: Introductionmentioning
confidence: 99%
“…These new ΣΔ ADC architectures can neatly compete in FoM and area with the latest SAR and pipeline converters [3], [4] and clearly surpass them in linearity, configurability and anti aliasing features. The converter architecture presented in this paper has been disclosed from the theoretical point of view in [5] and belongs to this new class of oversampled converters. The proposed ADC consists of a CT-ΣΔ modulator whose quantizer is implemented as a PWM modulator.…”
Section: Introductionmentioning
confidence: 99%