Data storage and analysis

Details Data storage and analysis Data storage and analysis

2005-03-29

2005-03-29

Jeanglaude, Jean Bruner (Department: 2819)

Coded data generation or conversion

Digital code to digital code converters

C051S302000

Reexamination Certificate

active

06873270

ABSTRACT:
An exemplary embodiment is an apparatus for compressing data having an arbitrary probability distribution, the apparatus being configured to obtain a set of samples from said data, create a phase distribution model of said sample data set, and perform a search function adapted to select the elements forming said phase distribution model by evaluating one or more values of the elements within the model and determine those that best fit the distribution of the example data set.

REFERENCES:
patent: 5045852 (1991-09-01), Mitchell et al.
patent: 5369605 (1994-11-01), Parks
patent: 5471207 (1995-11-01), Zandi et al.
patent: 5640159 (1997-06-01), Furlan et al.
patent: 5870036 (1999-02-01), Franaszek et al.
patent: 6259388 (2001-07-01), Zhao
patent: 0717554 (2001-06-01), None
Desharnais, Josee, et al., “Metrics for Labeled Marov Systems”, Proceeding of the 10th International Conference on Concurrency Theory, vol. 1664 of Lecture Notes in Computer Science, Eindhoven, Aug. 1999 (Springer-Verlag), pp. 258-273.
Neuts, Marcell F. Strcutured Stochastic Matrices of M/G/I type and Their Applications., Series: Probability Pure and Applied.5, New York, NY, Dekker 1989, pp. 420-425.
“Multivariate Discrete Phase-Type Distributions with Their Applications”, Matt Goff, Department of Mathematics, Washington State University, Mar. 15, 2001, URL www.nawwal.org/mrgoff/research/proposal.html.

Affiliated with

Also associated with

Rating

Data storage and analysis does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Data storage and analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data storage and analysis will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3371732