Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection
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Published By Springer Berlin Heidelberg

9783540067269, 9783540382942

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Summary of the major results in this survey for gaussian processes, including gaussian signals and noise

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064143 ◽

1974 ◽

pp. 123-129

Author(s):

David Bridston Osteyee ◽

Irving John Good

Keyword(s):

Gaussian Processes

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Introduction

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064127 ◽

1974 ◽

pp. 1-2

Author(s):

David Bridston Osteyee ◽

Irving John Good

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Relationships between certain random processes and the singularity between probability measures

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064136 ◽

1974 ◽

pp. 54-80

Author(s):

David Bridston Osteyee ◽

Irving John Good

Keyword(s):

Random Processes ◽

Probability Measures

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Expected mutual information, expected weight of evidence, and divergence for random processes

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064135 ◽

1974 ◽

pp. 47-53

Author(s):

David Bridston Osteyee ◽

Irving John Good

Keyword(s):

Mutual Information ◽

Random Processes ◽

Weight Of Evidence

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Comparison between I(RT:ST), WT(HN/HS+N), and JT(N, S+N) for gaussian signals and noise

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064139 ◽

1974 ◽

pp. 96-97

Author(s):

David Bridston Osteyee ◽

Irving John Good

Download Full-text

Expected mutual information rate

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064140 ◽

1974 ◽

pp. 98-111

Author(s):

David Bridston Osteyee ◽

Irving John Good

Keyword(s):

Mutual Information ◽

Information Rate

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Conclusions and areas for additional research

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064144 ◽

1974 ◽

pp. 130-130

Author(s):

David Bridston Osteyee ◽

Irving John Good

Keyword(s):

Additional Research

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Divergence

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064134 ◽

1974 ◽

pp. 44-46

Author(s):

David Bridston Osteyee ◽

Irving John Good

Download Full-text

Rate of expected weight of evidence

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064141 ◽

1974 ◽

pp. 112-117

Author(s):

David Bridston Osteyee ◽

Irving John Good

Keyword(s):

Weight Of Evidence

Download Full-text

Other expressions for expected mutual information

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection ◽

10.1007/bfb0064137 ◽

1974 ◽

pp. 81-91

Author(s):

David Bridston Osteyee ◽

Irving John Good

Keyword(s):

Mutual Information

Download Full-text

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal DetectionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Summary of the major results in this survey for gaussian processes, including gaussian signals and noise

Introduction

Relationships between certain random processes and the singularity between probability measures

Expected mutual information, expected weight of evidence, and divergence for random processes

Comparison between I(RT:ST), WT(HN/HS+N), and JT(N, S+N) for gaussian signals and noise

Expected mutual information rate

Conclusions and areas for additional research

Divergence

Rate of expected weight of evidence

Other expressions for expected mutual information

Lecture Notes in Mathematics - Information, Weight of Evidence, the Singularity between Probability Measures and Signal Detection
Latest Publications