Universal Estimation of Information Measures for Analog Sources

by Sanjeev R. Kulkarni, Qing Wang, Sergio Verdú, et al.

Entropy, mutual information and divergence measure the randomness, dependence and dissimilarity, respectively, of random objects. In addition to their prominent role in information theory, they have found numerous applications, among others, in probability theory statistics, physics, chemistry, molecular biology, ecology, bioinformatics, neuroscience, machine learning, linguistics, and finance. Many of these applications require a universal estimate...

• Format: Paperback
• Language: English
• ISBN: 1601982305
• ISBN13: 9781601982308
• Release Date: May 2009
• Publisher: Now Publishers
• Length: 104 Pages
• Weight: 0.35 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"