Data Decomposition Method and Computer System Therefrom

Patent №

US 8,798,399

Granted

2014-08-05

Filed 2009

Owner

NATIONAL CENTRAL UNIVERSITY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12411539

For multi-dimensional temporal-spatial data, EEMD is applied to time series of each spatial location to obtain IMF-like components of different time scales. All the ith IMF-like components of all the time series of all spatial locations are arranged to obtain ith temporal-spatial multi-dimensional IMF-like component. For two-dimensional spatial data or images, the two-dimensional spatial data or images are consider as a collection of one-dimensional series in first direction along locations in second direction. The same approach to the one used in temporal-spatial data decomposition is used to obtain the resulting two-dimensional IMF-like components. Each of the resulted IMF-like components are taken as the new two-dimensional data for further decomposition, but the data is considered as a collection of one-dimensional series in second-direction along locations in first-direction.

VisionG06F 17/14G06T 7/0012G06F 2218/04G06F 2218/08G06T 2207/10088G06T 2207/10108G06T 2207/30016G06T 2207/30096

AI classification

Vision0.99
Machine learning0.49
AI hardware0.10
Knowledge representation0.02
Planning0.01
Natural language0.01
Speech0.00
Evolutionary computation0.00

Ownership

NATIONAL CENTRAL UNIVERSITY

assignment · 224530978

Assignors

HUANG, NORDEN E., WU, ZHAO-HUA, CHEN, XIAN-YAO

On an employer assignment, the assignors are typically the inventors.

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