Symbols, Signals, and Noise

Symbols, Signals, and Noise
Author :
Publisher :
Total Pages : 328
Release :
ISBN-10 : UOM:39015001313975
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Symbols, Signals, and Noise by : John Robinson Pierce

Download or read book Symbols, Signals, and Noise written by John Robinson Pierce and published by . This book was released on 1961 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Symbols, Signals, and Noise Related Books

Symbols, Signals, and Noise
Language: en
Pages: 328
Authors: John Robinson Pierce
Categories: Communication
Type: BOOK - Published: 1961 - Publisher:

DOWNLOAD EBOOK

Information Theory
Language: en
Pages: 294
Authors: James V Stone
Categories: Computers
Type: BOOK - Published: 2024-11-25 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Learn the fundamentals of information theory, including entropy, coding, and data compression, while exploring advanced topics like transfer entropy, thermodyna
An Introduction to Information Theory
Language: en
Pages: 335
Authors: John Robinson Pierce
Categories: Computers
Type: BOOK - Published: 1980-01-01 - Publisher: Courier Corporation

DOWNLOAD EBOOK

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is
Detection of Signals in Noise
Language: en
Pages: 429
Authors: Anthony D. Whalen
Categories: Technology & Engineering
Type: BOOK - Published: 2013-09-11 - Publisher: Academic Press

DOWNLOAD EBOOK

Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection. The book discusses pro
An Introduction to Information Theory
Language: en
Pages: 532
Authors: Fazlollah M. Reza
Categories: Mathematics
Type: BOOK - Published: 2012-07-13 - Publisher: Courier Corporation

DOWNLOAD EBOOK

Graduate-level study for engineering students presents elements of modern probability theory, information theory, coding theory, more. Emphasis on sample space,