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Demodulation, predictive coding, and spatial vision
Journal of the Optical Society of America A, 1995We argue that some aspects of human spatial vision, particularly for textured patterns and scenes, can be described in terms of demodulation and predictive coding. Such nonlinear processes encode a pattern into local phasors that represent it completely as a modulation, in phase and amplitude, of a prediction associated with the image structure in some
J G, Daugman, C J, Downing
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2020
This chapter begins with linear extensions of kriging that provide higher flexibility and allow relaxing the underlying assumptions on the method. Such generalizations include the application of ordinary kriging to intrinsic random fields that can handle non-stationary data, as well as the methods of regression kriging and universal kriging that ...
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This chapter begins with linear extensions of kriging that provide higher flexibility and allow relaxing the underlying assumptions on the method. Such generalizations include the application of ordinary kriging to intrinsic random fields that can handle non-stationary data, as well as the methods of regression kriging and universal kriging that ...
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Spatial prediction, spatial sampling, and measurement error
2018This dissertation, comprising two distinct papers, investigates the prediction and sampling of spatial processes, where the data are contaminated with measurement error;In the first paper, we show that a geostatistical model can provide a powerful way of predicting unknown parts of some spatial phenomenon.
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Spatial functional prediction from spatial autoregressive Hilbertian processes
Environmetrics, 2011The class of spatial autoregressive Hilbertian models (SARH(1) processes) is considered. The projection estimation methodology proposed here is based on the biorthogonal eigenfunction bases diagonalizing the infinite‐dimensional parameters involved in the SARH(1) state equation.
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Spatial Prediction of Landslides
1993A great diversity of methodologies relative to landslide prediction have been developed in recent years and especially, hazard and risk mapping have now become usual techniques. According to Hartlen and Viberg (1988) the complete landslide hazard evaluation should provide answers at least to the following questions: where will the landslides occur ...
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Spatial Prediction With Space-Time Models
2003In this paper we deal with the problem of spatial prediction for a spatiotemporal process. Our method is based on the state-space representation of the observed spatial time series and requires the implementation of MCMC techniques. We can use the mean of the predictive distribution as a point predictor and we can quantify the uncertainty of our ...
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