METHOD FOR AUTOMATICALLY DETECTING AND CHARACTERIZING SPECTRAL ACTIVITY

Patent №

US 7,904,263

Granted

2011-03-08

Filed 2008

Owner

UNITED STATES AIR FORCE

Lab

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12286283

The invention disclosed herein provides a computer implementable method for characterizing signals in a frequency domain spectrum where such signals may be a wideband signal while individually being of varied formats such as tones, analog modulation, digital modulation, etc. The invention employs statistical probability models where mean, standard deviation, histograms, and probability density functions are analogous to center frequency, bandwidth, frequency spectrum, and signal models, respectively. The invention reconstructs a frequency spectrum showing signals of interest.

AI classification

Vision1.00
Machine learning0.78
AI hardware0.26
Planning0.23
Evolutionary computation0.01
Natural language0.00
Speech0.00
Knowledge representation0.00

Ownership

UNITED STATES AIR FORCE

assignment · 256970211

Assignors

VEGA IRIZARRY, ALFREDO

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

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