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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Non-Gaussian Statistical Comm

Non-Gaussian Statistical Comm

Middleton

Hardcover

Series: IEEE Digital & Mobile Communication

Technology & EngineeringPhysics

ISBN10: 0470948477
ISBN13: 9780470948477
Publisher: John Wiley & Sons
Published: May 11 2012
Pages: 664
Weight: 2.80
Height: 1.50 Width: 6.90 Depth: 10.00
Language: English
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.

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