A Level-Crossing Sampling Scheme for Non-Bandlimited Signals

Guan, K.; Singer, Andrew C.

doi:10.1109/icassp.2006.1660670

Cited by 25 publications

(26 citation statements)

References 6 publications

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“…(7) x(Ex It is possible that with the optimal sampling scheme alone, the optimal rate of transmission can be achieved. In other words, the optimal sampling scheme combines data acquisition with compression, so that no further encoding is necessary, RS* = TN S l(x* )Pr(x* ).…”

Section: Reduced Rate Of Transmission Using Lc Adcmentioning

confidence: 99%

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

Guan

Singer

2007

2007 41st Annual Conference on Information Sciences and Systems

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Level-crossing analog-to-digital converters (LC ADC) have been studied in the literature and have been shown to efficiently sample certain classes of signals. In this paper we first characterize a class of bursty source signals. We then provide an information theoretical formulation that studies the application of LC ADC in data transmission in conjunction with compression. It is shown that compared to uniform sampling, LC sampling enables the same amount of information to be transmitted at substantially lower rate.Index Terms-non-uniform sampling, level-crossing, compression, and bursty signal space.

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Section: Reduced Rate Of Transmission Using Lc Adcmentioning

confidence: 99%

“…LC ADC -THE SAMPLER 7 AND ENCODER C LC ADC can be implemented in many ways. A conceptual diagram in Figure 2 suggests that it consists of a LC sampler 7 components will be discussed in detail in the following paragraphs. Implementations of LC sampler generally fall into two categories, asynchronous and synchronous.…”

Section: Introductionmentioning

confidence: 99%

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

Guan

Singer

2007

2007 41st Annual Conference on Information Sciences and Systems

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“…The signal can be represented by the pairs {t k , x k }, where the values x(t k ) = x k belong to the set Q of quantization levels. This representation [2]- [4] is known as "level crossing sampling". Assuming that the time axis is continuous, i.e.…”

Section: Introductionmentioning

confidence: 99%

Processing of signals using level-crossing sampling

Vezyrtzis

Tsividis

2009

2009 IEEE International Symposium on Circuits and Systems

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This paper treats signals encoded using level crossing sampling. Such encoding makes possible a variable sampling rate; fast-varying parts of the signal are sampled fast, while slowly-varying parts of the signal are sampled slowly. We propose a technique for processing such signals, which results in an output with very low error. With 4 bits of amplitude quantization, the signal-to-error ratio is better than 100 dB.

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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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A Level-Crossing Sampling Scheme for Non-Bandlimited Signals

Cited by 25 publications

References 6 publications

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

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

Processing of signals using level-crossing sampling

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

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