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Probability and random processes = w...

Childers, Donald G.

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Probability and random processes = with applications to signal processing and communications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Probability and random processes/ Scott L. Miller, Donald Childers.
其他題名:	with applications to signal processing and communications /
作者:	Miller, Scott L.
其他作者:	Childers, Donald G.
出版者:	Amsterdam ;Elsevier Academic Press, : c2004.,
面頁冊數:	xiii, 536 p. :ill. ;24 cm.
附註:	Includes index.
內容註:	Preface -- 1. Introduction -- 2. Introduction to Probability Theory -- 3. Random Variables, Distributions and Density Functions -- 4. Operations on a Single Random Variable -- 5. Pairs of Random Variables -- 6. Multiple Random Variables -- 7. Random Sequences and Series -- 8. Random Processes -- 9. Markov Processes -- 10. Power Spectral Density -- 11. Random Processes in Linear Systems -- 12. Simulation Techniques -- Appendices.
標題:	Probabilities. -
電子資源:	http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780121726515An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.sciencedirect.com/science/book/9780121726515An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.loc.gov/catdir/toc/els051/2004010367.html
電子資源:	http://www.loc.gov/catdir/description/els051/2004010367.html
ISBN:	0121726517

Probability and random processes = with applications to signal processing and communications /
Miller, Scott L.

Probability and random processeswith applications to signal processing and communications /[electronic resource] :Scott L. Miller, Donald Childers. - Amsterdam ;Elsevier Academic Press,c2004. - xiii, 536 p. :ill. ;24 cm.

Includes index.

Preface -- 1. Introduction -- 2. Introduction to Probability Theory -- 3. Random Variables, Distributions and Density Functions -- 4. Operations on a Single Random Variable -- 5. Pairs of Random Variables -- 6. Multiple Random Variables -- 7. Random Sequences and Series -- 8. Random Processes -- 9. Markov Processes -- 10. Power Spectral Density -- 11. Random Processes in Linear Systems -- 12. Simulation Techniques -- Appendices.

Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. * Exceptional exposition and numerous worked out problems make the book extremely readable and accessible * The authors connect the applications discussed in class to the textbook * The new edition contains more real world signal processing and communications applications * Includes an entire chapter devoted to simulation techniques.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 0121726517

Source: 90193:90193Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

518889
Probabilities.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TK5102.9 / .M556 2004eb

Dewey Class. No.: 621.382/2/0151

Probability and random processes = with applications to signal processing and communications /
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245 1 0 $a Probability and random processes $h [electronic resource] : $b with applications to signal processing and communications / $c Scott L. Miller, Donald Childers.
260 $a Amsterdam ; $a Boston : $c c2004. $b Elsevier Academic Press,
300 $a xiii, 536 p. : $b ill. ; $c 24 cm.
500 $a Includes index.
505 0 $a Preface -- 1. Introduction -- 2. Introduction to Probability Theory -- 3. Random Variables, Distributions and Density Functions -- 4. Operations on a Single Random Variable -- 5. Pairs of Random Variables -- 6. Multiple Random Variables -- 7. Random Sequences and Series -- 8. Random Processes -- 9. Markov Processes -- 10. Power Spectral Density -- 11. Random Processes in Linear Systems -- 12. Simulation Techniques -- Appendices.
520 $a Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. * Exceptional exposition and numerous worked out problems make the book extremely readable and accessible * The authors connect the applications discussed in class to the textbook * The new edition contains more real world signal processing and communications applications * Includes an entire chapter devoted to simulation techniques.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2007. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on Aug. 2, 2007). $n Access may be restricted to users at subscribing institutions.
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650 0 $a Stochastic processes. $3 520663
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856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780121726515 $z An electronic book accessible through the World Wide Web; click for information
856 4 1 $3 Table of contents $u http://www.loc.gov/catdir/toc/els051/2004010367.html
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/description/els051/2004010367.html
994 $a C0 $b TEF