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Non-Gaussian Statistical Comm
Contributor(s): Middleton (Author)
ISBN: 0470948477     ISBN-13: 9780470948477
Publisher: John Wiley & Sons
OUR PRICE:   $159.55  
Product Type: Hardcover - Other Formats
Published: May 2012
Qty:
Additional Information
BISAC Categories:
- Science | Waves & Wave Mechanics
- Technology & Engineering | Signals & Signal Processing
Dewey: 003.54
LCCN: 2011021431
Series: IEEE Press Series on Digital and Mobile Communication
Physical Information: 1.5" H x 6.9" W x 10" (2.80 lbs) 664 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
The book is based on the observation that communication is the central operation of discovery in all the sciences. In its active mode we use it to interrogate the physical world, sending appropriate signals and receiving nature's reply. In the passive mode we receive nature's signals directly. Since we never know a prioriwhat particular return signal will be forthcoming, we must necessarily adopt a probabilistic model of communication. This has developed over the approximately seventy years since it's beginning, into a Statistical Communication Theory (or SCT). Here it is the set or ensemble of possible results which is meaningful. From this ensemble we attempt to construct in the appropriate model format, based on our understanding of the observed physical data and on the associated statistical mechanism, analytically represented by suitable probability measures.

Since its inception in the late '30's of the last century, and in particular subsequent to World War II, SCT has grown into a major field of study. As we have noted above, SCT is applicable to all branches of science. The latter itself is inherently and ultimately probabilistic at all levels. Moreover, in the natural world there is always a random background noise as well as an inherent a priori uncertainty in the presentation of deterministic observations, i.e. those which are specifically obtained, a posteriori.

The purpose of the book is to introduce Non-Gaussian statistical communication theory and demonstrate how the theory improves probabilistic model. The book was originally planed to include 24 chapters as seen in the table of preface. Dr. Middleton completed first 10 chapters prior to his passing in 2008. Bibliography which represents remaining chapters are put together by the author's close colleagues; Drs. Vincent Poor, Leon Cohen and John Anderson.

email pressbooks@ieee.org to request Ch.10