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Record Nr. |
UNINA9910458157803321 |
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Autore |
Miller Scott L |
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Titolo |
Probability and random processes [[electronic resource] ] : with applications to signal processing and communications / / Scott L. Miller, Donald Childers |
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Pubbl/distr/stampa |
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Waltham, Mass., : Elsevier, 2012 |
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ISBN |
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1-283-41027-3 |
9786613410276 |
0-12-387013-5 |
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Edizione |
[Ed. 2.] |
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Descrizione fisica |
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1 online resource (625 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Signal processing - Mathematics |
Probabilities |
Stochastic processes |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; Probability and Random Processes: With Applications to Signal Processingand Communications; Copyright; Contents; Preface; Chapter 1: Introduction; 1.1 A Speech Recognition System; 1.2 A Radar System; 1.3 A Communication Network; Chapter 2: Introduction to Probability Theory; 2.1 Experiments, Sample Spaces, and Events; 2.2 Axioms of Probability; 2.3 Assigning Probabilities; 2.4 Joint and Conditional Probabilities; 2.5 Basic Combinatorics; 2.6 Bayes's Theorem; 2.7 Independence; 2.8 Discrete Random Variables; 2.9 Engineering Application-An Optical Communication System; Exercises |
Section 2.1: Experiments, Sample Spaces, and EventsSection 2.2: Axioms of Probability; Section 2.3: Assigning Probabilities; Section 2.4: Joint and Conditional Probabilities; Section 2.5: Basic Combinatorics; Section 2.6: Bayes's Theorem; Section 2.7: Independence; Section 2.8: Discrete Random Variables; Miscellaneous Problems; MATLAB Exercises; Chapter 3: Random Variables, Distributions,and Density Functions; 3.1 The Cumulative Distribution Function; 3.2 The Probability Density Function; 3.3 The Gaussian Random Variable; 3.4 Other Important |
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Random Variables; 3.4.1 Uniform Random Variable |
3.4.2 Exponential Random Variable3.4.3 Laplace Random Variable; 3.4.4 Gamma Random Variable; 3.4.5 Erlang Random Variable; 3.4.6 Chi-Squared Random Variable; 3.4.7 Rayleigh Random Variable; 3.4.8 Rician Random Variable; 3.4.9 Cauchy Random Variable; 3.5 Conditional Distribution and Density Functions; 3.6 Engineering Application: Reliability and Failure Rates; Exercises; Section 3.1: The Cumulative Distribution Function; Section 3.2: The Probability Density Function; Section 3.3: The Gaussian Random Variable; Section 3.4: Other Important Random Variables |
Section 3.5: Conditional Distribution and Density FunctionsSection 3.6: Reliability and Failure Rates; Miscellaneous Exercises; MATLAB Exercises; Chapter 4: Operations on a Single Random Variable; 4.1 Expected Value of a Random Variable; 4.2 Expected Values of Functions of Random Variables; 4.3 Moments; 4.4 Central Moments; 4.5 Conditional Expected Values; 4.6 Transformations of Random Variables; 4.6.1 Monotonically Increasing Functions; 4.6.2 Monotonically Decreasing Functions; 4.6.3 Nonmonotonic Functions; 4.7. Characteristic Functions; 4.8. Probability-Generating Functions |
4.9 Moment-Generating Functions4.10 Evaluating Tail Probabilities; 4.11 Engineering Application-Scalar Quantization; 4.12 Engineering Application-Entropy and Source Coding; Exercises; Section 4.1: Expected Values of a Random Variable; Section 4.2: Expected Values of Functions of a Random Variable; Section 4.3: Moments; Section 4.4: Central Moments; Section 4.5: Conditional Expected Values; Section 4.6: Transformations of Random Variables; Section 4.7: Characteristic Functions; Section 4.8: Probability-Generating Functions; Section 4.9: Moment-Generating Functions |
Section 4.10: Evaluating Tail Probabilities |
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Sommario/riassunto |
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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 communicat |
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2. |
Record Nr. |
UNINA9910782517203321 |
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Autore |
Peden G. C. |
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Titolo |
Arms, economics and British strategy : from Dreadnoughts to hydrogen bombs / / G.C. Peden |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2007 |
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ISBN |
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1-107-17076-1 |
1-280-95945-2 |
9786610959457 |
0-511-29630-4 |
1-139-13233-4 |
0-511-29553-7 |
0-511-49618-4 |
0-511-29394-1 |
0-511-29474-3 |
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Descrizione fisica |
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1 online resource (xiii, 384 pages) : digital, PDF file(s) |
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Collana |
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Cambridge military histories |
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Disciplina |
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Soggetti |
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Great Britain Military policy |
Great Britain History, Military |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references (p. 352-366) and index. |
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Nota di contenuto |
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The dreadnought era, 1904-1914 -- The first world war -- Retrenchment and rearmament, 1919-1939 -- The second world war -- The impacts of the atomic bomb and the cold war, 1945-1954 -- The hydrogen bomb, the economy and decolonisation, 1954-1969. |
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Sommario/riassunto |
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This book integrates strategy, technology and economics and presents a new way of looking at twentieth-century military history and Britain's decline as a great power. G. C. Peden explores how from the Edwardian era to the 1960s warfare was transformed by a series of innovations, including dreadnoughts, submarines, aircraft, tanks, radar, nuclear weapons and guided missiles. He shows that the cost of these new weapons tended to rise more quickly than national income and argues that strategy had to be adapted to take account of both the increased potency of new weapons and the economy's diminishing ability to |
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sustain armed forces of a given size. Prior to the development of nuclear weapons, British strategy was based on an ability to wear down an enemy through blockade, attrition (in the First World War) and strategic bombing (in the Second), and therefore power rested as much on economic strength as on armaments. |
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