Patent US RE35781

Patent №

US RE35781

Granted

Owner

Lab

AI components

1

hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

08553235

A coding method of a binary Markov information source comprises the steps of providing a range on a number line from 0 to 1 which corresponds to an output symbol sequence from the information source, and performing data compression by binary expressing the position information on the number line corresponding to the output symbol sequence. The present method further includes the steps of providing a normalization number line to keep a desired calculation accuracy by expanding a range of the number line which includes a mapping range, by means of a multiple of a power of 2, when the mapping range becomes below 0.5 of the range of the number line; allocating a predetermined mapping range on the normalization number line for less probable symbols LPS proportional to its normal occurrence probability; allocating the remaining mapping range on the normalization number line for more probable symbols MPS; and reassigning the predetermined mapping range to the remaining mapping range the half of a portion where the allocated remaining range is less than 0.5, when the allocated remaining range becomes below 0.5.

AI classification

AI hardware0.83
Knowledge representation0.07
Machine learning0.01
Natural language0.00
Speech0.00
Evolutionary computation0.00
Vision0.00
Planning0.00
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