Data processing: artificial intelligence – Plural processing systems
Reexamination Certificate
2011-06-21
2011-06-21
Sparks, Donald (Department: 2129)
Data processing: artificial intelligence
Plural processing systems
C398S025000
Reexamination Certificate
active
07966268
ABSTRACT:
A method of assessing a signal to identify particular signal characteristics comprises application of machine learning to multi-dimensional histograms derived from multi-tap sampling of the signal. The signal is sampled from at least two tap points to retrieve a sample set, and the at least two tap points are adapted to retrieve distinct samples from the signal, such as time spaced samples or spectrally distinct samples. Multiple sample sets are retrieved from the signal over time. The at least two dimensional histogram is built from the joint probability distribution of the plurality of sample sets. A machine learning algorithm then processes the multi-dimensional histogram, and is trained to predict a value of at least one characteristic of the signal.
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Anderson Trevor
Bedo Justin
Clarke Kenneth Paul
Dods Sarah
Kowalczyk Adam
Hill Stanley K
National ICT Australia Limited
Sparks Donald
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