Method for sparse data two-stage stochastic mensuration

Details Method for sparse data two-stage stochastic mensuration Method for sparse data two-stage stochastic mensuration

2007-09-11

2007-09-11

Jones, Hugh (Department: 2128)

Data processing: structural design, modeling, simulation, and em

Modeling by mathematical expression

C702S143000, C434S006000

Reexamination Certificate

active

10863839

ABSTRACT:
A method is provided for characterizing sparse data as either signal or noise. In one embodiment, a two-dimensional area which contains a distribution of data points of the sparse data from a selected time period is divided into equal size cells wherein each cell has an expectation of containing at least one data sample. Based on the expected proportion of a plurality cells which will be nonempty in a random distribution, a Poisson distribution or a Binomial distribution is utilized to determine a data sample mean. A probability of a false signal is determined from the number of cells utilized. A probability is also computed from the sample mean and compared to the probability of a false signal to determine whether to characterize the sparse data as signal or noise.

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