Opportunistic Sampling of Bursty Signals by Level-Crossing - an Information Theoretical Approach

Guan, K.; Singer, Andrew C.

doi:10.1109/ciss.2007.4298396

Cited by 9 publications

(8 citation statements)

References 17 publications

(17 reference statements)

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“…Level-crossing (LC) sampling has been proposed as an alternative to the traditional uniform sampling method [1][2][3][4][5][6][7][8][9][10]. In this approach, signals are compared with a set of reference levels and samples taken on the time axis, indicating the times at which the analog signal exceeded each of the associated reference levels.…”

Section: Introductionmentioning

confidence: 99%

“…Higher instantaneous bandwidth/precision can be offered when sampling is performed, and resolution is improved without overall increase in bit rate or power consumption. It has been shown in [4,6,7] that by using LC sampling in communication systems, we can reduce the data transmission rate. For certain types of input, it has also been shown that LC performs advantageously in signal reconstructions, as well as in parameter estimations.…”

Section: Introductionmentioning

confidence: 99%

“…Ideally, the levels are located such that information can be optimally extracted. In the literature, the levels have typically been treated no differently from uniform quantization levels [4][5][6][7][8][9][10], where their optimal allocation has received scant consideration, with the noted exception quantization of data that has already been sampled in time. Hence, optimal placement of reference levels is the focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter

Guan

Kozat

Singer

2008

EURASIP J. Adv. Signal Process.

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Level-crossing analog-to-digital converters (LC ADCs) have been considered in the literature and have been shown to efficiently sample certain classes of signals. One important aspect of their implementation is the placement of reference levels in the converter. The levels need to be appropriately located within the input dynamic range, in order to obtain samples efficiently. In this paper, we study optimization of the performance of such an LC ADC by providing several sequential algorithms that adaptively update the ADC reference levels. The accompanying performance analysis and simulation results show that as the signal length grows, the performance of the sequential algorithms asymptotically approaches that of the best choice that could only have been chosen in hindsight within a family of possible schemes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter

Guan

Kozat

Singer

2008

EURASIP J. Adv. Signal Process.

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“…Higher instantaneous bandwidth can be offered when LC sampling is performed, and resolution is improved without overall increase in bit rate or power consumption because the significant information in the bursty intervals is sampled. The data transmission rate can be reduced by using LC sampling in communication systems [10,11].…”

Section: Introductionmentioning

confidence: 99%

“…The random convolution based sampling strategy has been investigated by [7], [8] and [9] to solve this drawback. To avoid hardware realization challenges, we acquire less samples from analog signal directly by using Level-crossing (LC) sampling [10,11,12,13,14,15,16,17], in which an analog input signal is compared with a set of quantization levels (can also be called reference levels) and a sample is produced only when the input analog signal changes enough to cross a level, thus it results in nonuniform sampling and saves dynamic power in the analog-to-digital conversion (ADC) and following DSP for those powered by a very small battery and that involve "bursty" signals with varying activity over time, possibly including long periods of silence. Sampling by LC can mimic the behavior of such input signals.…”

Section: Introductionmentioning

confidence: 99%

Direction-of-Arrival Estimation Based on Sparse Recovery with Second-Order Statistics

Chen¹,

Wan²,

Fan³

et al. 2015

RADIOENGINEERING

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Abstract. Traditional direction-of-arrival (DOA) estimation techniques perform Nyquist-rate sampling of the received signals and as a result they require high storage. To reduce sampling ratio, we introduce level-crossing (LC) sampling which captures samples whenever the signal crosses predetermined reference levels, and the LC-based analogto-digital converter (LC ADC) has been shown to efficiently sample certain classes of signals. In this paper, we focus on the DOA estimation problem by using second-order statistics based on the LC samplings recording on one sensor, along with the synchronous samplings of the another sensors, a sparse angle space scenario can be found by solving an 1 minimization problem, giving the number of sources and their DOA's. The experimental results show that our proposed method, when compared with some existing normbased constrained optimization compressive sensing (CS) algorithms, as well as subspace method, improves the DOA estimation performance, while using less samples when compared with Nyquist-rate sampling and reducing sensor activity especially for long time silence signal.

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Non‐uniform‐level crossing sampling for efficient sensing of temporally sparse signals

Alasti

2014

IET wirel. sens. syst.

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This study investigates the performance of level-crossing sampling (LCS) for efficient sensing of the temporally sparse random signals assuming that the sampling levels can be chosen arbitrarily. In particular, the authors investigate a non-uniform LCS for sensing temporally sparse signals with sampling levels that are optimised to minimise the reconstruction error based on prior knowledge of signal's probability density function (pdf). Performance results showing the tradeoff between reconstruction error and average number of samples are presented. To define the sampling levels independent from the pdf of the signal, a tractable scheme is proposed. The performance and sampling efficiency of LCS for three schemes of defining the sampling levels when the signal range is known are evaluated.

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Opportunistic Sampling of Bursty Signals by Level-Crossing - an Information Theoretical Approach

Cited by 9 publications

References 17 publications

Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter

Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter

Direction-of-Arrival Estimation Based on Sparse Recovery with Second-Order Statistics

Non‐uniform‐level crossing sampling for efficient sensing of temporally sparse signals

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