Spectral analysis of spatial sampling by photoreceptors: Topological disorder prevents aliasing

Sensitivity Analysis of Spatial Sampling Designs for Optimal Prediction

In spatial statistic, the data analyzed which is correlated and this correlation is due to their locations in the studied region. Such correlation that is related to distance between observations is called spatial correlation. Usually in spatial data analysis, the prediction of the amount of uncertain quantity in arbitrary 4locations of the area is considered according to attained observations ...

Determination of Optimal Sampling Design for Spatial Data Analysis

Extended Abstract. Inferences for spatial data are affected substantially by the spatial configuration of the network of sites where measurements are taken. Consider the following standard data-model framework for spatial data. Suppose a continuous, spatially-varying quantity, Z, is to be observed at a predetermined number, n, of points ....[ To Countinue Click here]

Aliasing-Free Blue Noise Sampling

In this paper we revisit the problem of blue noise sampling with a strong focus on the spectral behavior of the sampling patterns. We use the mathematical relationship between the radial power spectrum and the radial distribution function to synthesize two types of blue noise patterns: ideal blue noise patterns that have a power spectrum in form of a step function and produce almost no coherent...

\nonuniform Sampling: Bandwidth and Aliasing"

For spectroscopic measurements there are good reasons why one might consider using nonuniformly nonsimultaneously sampled complex data. The primary one is that the e ective bandwidth, the largest spectral window free of aliases, can be much wider than with uniformly sampled data. In this paper we discuss nonuniformly nonsimultaneously sampled data, describe how these data are traditionally anal...

Nonuniform Sampling : Bandwidth and Aliasing