Compressive sensing (CS) theory demonstrates that by using uniformly-random sampling, rather than uniformly-spaced sampling, higher quality image reconstructions are often achievable. Considering that the structure of sampling protocols has such a profound impact on the quality of image reconstructions, we formulate a new sampling scheme motivated by physiological receptive field structure, loc...

We discuss two sampling schemes for selecting random subnets from a network, random sampling and connectivity dependent sampling, and investigate how the degree distribution of a node in the network is affected by the two types of sampling. Here we derive a necessary and sufficient condition that guarantees that the degree distributions of the subnet and the true network belong to the same fami...

| In this paper, we present new statistical sampling techniques for performing power estimation at the circuit level. These techniques rst transform the power estimation problem to a survey sampling problem, then apply stratiied random sampling to improve the eeciency of sampling. The stratiication is based on a low-cost predic-tor, such as zero delay power estimates. We also propose a two-stag...

Once the research question and the research design have been finalised, it is important to select the appropriate sample for the study. The method by which the researcher selects the sample is the ' Sampling Method'. There are essentially two types of sampling methods: 1) probability sampling - based on chance events (such as random numbers, flipping a coin etc.); and 2) non-probability samplin...

We used intracoelomically implanted temperature dataloggers to obtain semi continuous body temperature data and establish monthly thermal profiles for free ranging rattlesnakes. We mimicked random and non random point sampling methods by selecting a single daily data point from all values or from restricted times of day to reflect common point sampling constraints. Thermal profiles generated fr...

BACKGROUND The quality of data collected in survey research is usually indicated by the response rate; the representativeness of the sample, and; the rate of completed questions (item-response). In attempting to improve a generally declining response rate in surveys considerable efforts are being made through follow-up mailings and various types of incentives. This study examines effects of inc...

BACKGROUND Mortality, health, and well-being across the lifespan are associated with socioeconomic position (typically operationalised as occupational status). There is some evidence that adolescence represents a period of 'relative equalisation' of health inequalities. Our aim was to examine the association between inequalities in household income and health in childhood and adolescence. MET...

OBJECTIVE A random sample of smokers was offered a transfer to the New York State Smokers' Quitline in order to assess smokers' acceptance of "cold calls" offering quitline services. METHOD A 30-minute survey to assess adult tobacco use was administered to 121 western New York smokers who were originally sampled for a random digit dialled survey in 2005, and then re-interviewed one year later...

Representing against population with a subset of it is termed as sampling. Sampling can either be statistical or non-statistical. In statistical sampling (probability sampling technique) calculating the probability of getting any particular sample is possible. It is scientific and every element stands an equal chance of being selected. In statistical sampling, workforce, time and money highly l...

Recent research advocates applying sampling to accelerate microarchitecture simulation. Simple random sampling offers accurate performance estimates (with a high quantifiable confidence) by taking a large number (e.g., 10,000) of short performance measurements over the full length of a benchmark. Simple random sampling does not exploit the often repetitive behaviors of benchmarks, collecting ma...