2015
DOI: 10.1049/el.2014.1950
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Analogue‐to‐information conversion using multi‐comparator‐based integrate‐and‐fire sampler

Abstract: A new methodology for sparse signal acquisition using a multi-comparator-based integrate-and-fire sampler is presented. By employing the randomness of comparator voltages, the original analogue signal is converted into a series of binaries and is guaranteed to be precisely recovered from these measurements. The proposed scheme operates with a sub-Nyquist rate, which requires neither a high-speed linear feedback shift register nor an accurate analogue-to-digital converter. The experimental results demonstrate t… Show more

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Cited by 6 publications
(3 citation statements)
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“…where 1 is a matxix of all 1's. Consider compressing x into a much smaller tensor y = Rx (16) where the compression matrix R is structured as…”
Section: Trilinear Compressionmentioning
confidence: 99%
“…where 1 is a matxix of all 1's. Consider compressing x into a much smaller tensor y = Rx (16) where the compression matrix R is structured as…”
Section: Trilinear Compressionmentioning
confidence: 99%
“…Several AIC schemes have been proposed, e.g. random sampler [11], random demodulation [12], modulated wideband converter (MWC) [13–15] and time encoding machine [16, 17], among which the MWC is the most prominent framework for sparse multiband signals acquisition. In the existing MWC, the pseudorandom binary sequence (PRBS) is a key factor.…”
Section: Introductionmentioning
confidence: 99%
“…Algorithm Capon and MUSIC are effective with nonuniform configuration, they only perform well with large number of snapshot. Besides, additional prior information is needed in this algorithm, such as the number of targets, the noise level, et al Recently, compressive sensing (CS) theory has attracted extensive attention in the field of array signal processing [10]- [12]. In this paper, we focus on the compressive sensing based MIMO (CS-MIMO) radar [13].…”
Section: Introductionmentioning
confidence: 99%