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September 1, 1956IEEE Transactions on Information Theory

The measurement of third order probability distributions of television signals

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Authors

WSWilliam F. SchreiberVanderbilt University

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Implication

Experimental hardware evaluation demonstrates automated measurement of third-order probability distributions in television signals, indicating reliable calculation of video conditional entropy.

Key Points

To develop an automated device capable of measuring third-order probability distributions in television video signals and calculating their conditional entropy.
Constructed an automated measurement device using specialized cathode ray tubes to perform 64-level amplitude analyses across three video signals.
Measured triple coincidence rates among signal analyzer outputs over frame intervals with an 8 Mc counter and recorded data onto magnetic tape for computer analysis.
Successfully computed conditional entropy values representing the information generated by one video signal when two others are known.
Demonstrated practical measurements of second- and third-order probability distributions across a variety of visual scenes.

Cite This Study

William F. Schreiber (1956) studied this question.

synapsesocial.com/papers/6a12e44d1100fc8528c09b83 https://doi.org/10.1109/tit.1956.1056811

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Implication

Experimental hardware evaluation demonstrates automated measurement of third-order probability distributions in television signals, indicating reliable calculation of video conditional entropy.

The measurement of third order probability distributions of television signals

Discussion

Member takes

Implication

Key Points

Cite This Study

The measurement of third order probability distributions of television signals

Discussion

Member takes

Implication

Key Points

Cite This Study

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