Weighted Sub-Additive Information Measures and Their Applications
| AUTHOR | Choudhary, Arun; Kumar, Satish |
| PUBLISHER | LAP Lambert Academic Publishing (08/02/2012) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
Information theory is a branch of applied Mathematics-statistics and operations Research. In the era of internet, every walk of life has been traped by the word 'Information' removal of uncertainty or entropy, Information theory includes information processing, information storage, information retrieved and decision making. In a narrow sense, information theory studies all theoritical problems concerned with the transmission of information over communication channels. This includes the studies of uncertainty (information) measure and various practical and economical methods of coding information for transmission. In this book a study of parametric R-norm Information measures, Unified (r, s) weighted information measures and their inequalities, W-majorization and some propositions connected with weighted information measures, Shannon-Gibbs type inequalities and convexities some well known inequalities like Jenson, Holder's, Minkowski's have been connected with different measures and Sub-additive measures of information has been presented.
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Product Details
ISBN-13:
9783659198205
ISBN-10:
365919820X
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
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Page Count:
120
Carton Quantity:
66
Product Dimensions:
6.00 x 0.28 x 9.00 inches
Weight:
0.41 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Mathematics | General
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publisher marketing
Information theory is a branch of applied Mathematics-statistics and operations Research. In the era of internet, every walk of life has been traped by the word 'Information' removal of uncertainty or entropy, Information theory includes information processing, information storage, information retrieved and decision making. In a narrow sense, information theory studies all theoritical problems concerned with the transmission of information over communication channels. This includes the studies of uncertainty (information) measure and various practical and economical methods of coding information for transmission. In this book a study of parametric R-norm Information measures, Unified (r, s) weighted information measures and their inequalities, W-majorization and some propositions connected with weighted information measures, Shannon-Gibbs type inequalities and convexities some well known inequalities like Jenson, Holder's, Minkowski's have been connected with different measures and Sub-additive measures of information has been presented.
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