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portada The Interplay Between Information and Estimation Measures
Type
Physical Book
Publisher
Language
Inglés
Pages
214
Format
Paperback
Dimensions
23.4 x 15.6 x 1.1 cm
Weight
0.30 kg.
ISBN13
9781601987488

The Interplay Between Information and Estimation Measures

Sergio Verdú (Author) · Dongning Guo (Author) · Shlomo Shamai (Author) · Now Publishers · Paperback

The Interplay Between Information and Estimation Measures - Guo, Dongning ; Shamai, Shlomo ; Verdu, Sergio

Physical Book

£ 93.80

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Friday, July 05 and Wednesday, July 17.
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Synopsis "The Interplay Between Information and Estimation Measures"

If information theory and estimation theory are thought of as two scientific languages, then their key vocabularies are information measures and estimation measures, respectively. The basic information measures are entropy, mutual information and relative entropy. Among the most important estimation measures are mean square error (MSE) and Fisher information. Playing a paramount role in information theory and estimation theory, those measures are akin to mass, force and velocity in classical mechanics, or energy, entropy and temperature in thermodynamics. The Interplay Between Information and Estimation Measures is intended as handbook of known formulas which directly relate to information measures and estimation measures. It provides intuition and draws connections between these formulas, highlights some important applications, and motivates further explorations. The main focus is on such formulas in the context of the additive Gaussian noise model, with lesser treatment of others such as the Poisson point process channel. Also included are a number of new results which are published here for the first time. Proofs of some basic results are provided, whereas many more technical proofs already available in the literature are omitted. In 2004, the authors of this monograph found a general differential relationship commonly referred to as the I-MMSE formula. In this book a new, complete proof for the I-MMSE formula is developed, which includes some technical details omitted in the original papers relating to this. The Interplay Between Information and Estimation Measures concludes by highlighting the impact of the information-estimation relationships on a variety of information-theoretic problems of current interest, and provide some further perspective on their applications.

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