Probability, Random Variables and Stochastic Processes by Papoulis

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contents
Preface to the Third Edition Probability, random variables, stochastic processes (3ed., MGH, 1991)(400dpi)(T)(678s).rar (12.14 MB, 需要: 50 个论坛币) 本附件包括：

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Preface to the Second Edition
Preface to the First Edition  
Part I Probability and Random Variables
I The Meaning of Probability
1-1 Introduction
I-2 The Definitions
1-3 Probability and Induction
1-4 Causality versus Randomness
Concluding Remarks
2 The Axioms of Probability
2-1 Set Theory
2-2 Probability Space
2-3 Conditional Probability
Problems
3 Repeated Trials
3-1 Combined Experiments
3-2 Bernoulli Trials
3-3 Asymptotic Theorems
3-4 Poiss0n Theorem and Random Points
Problems

The Concept of a .Random Variable
Intr 'Oduction
D .ia3ribution and Density Functions  
vii
4-3 Special Cases
4-4 Conditional Distributions and Total Probability
Problems
5 Functions of One Random Variable
5-1 The Random Variable g(x)
5-2 The Distribution of g(x)
5-3 Mean and Variance
5-4 Moments
5-5 Characteristic Functions
Problems
6 Two Random Variables
6-1 Bivariate Distributions
6-2 One Function of Two Random Variables
6-3 Two Functions of Two Random Variables
Problems
7 Moments and Conditional Statistics
7-1 Joint Moments
7-2 Joint Characteristic Functions
7-3 Conditional Distributions
7-4 Conditional Expected Values
7-5 Mean Square Estimation
Problems
8 Sequences of Random Variables
8-1 General Concepts
8-2 Conditional Penalties, Characteristic Functions,
and Normality
8-3 Mean Square Estimation
8-4 Stochastic Convergence and Limit Theorems
8-5 Random Numbers: Meaning and Generation
Problems
9 Statistics
'.9-1 Introduction
9; Parameter Estimation
9-3 Hypothesi s Testing
P, robIems
:Stochastic 'Processes
The Power Spectrum
Digital Processes
Appendix 10A Continuity, Differentiation, Integration
Appendix 10B Shift Operators and Stationary Processes
Problems
11 Basic Applications
I 1-1 Random Walk, Brownian Motion, and Thermal Noise
11-2 Poison Points anti Shot Noise
11-3 Modulation
11.4 Cy. clostationar), Processes
11-$ Bandlimited Processes and Sampling Theor),
11-6 Deterministic Signals in Noise
I 1-' Bispectra and System Identification
Appendix 11A The Poisson Sum Formula
Appendix lib Schwarz's Inequality
Problems
12
12-1
12-2
12-3
12-4
Spectral Representation
Factorization and Innovations
Finite-Order Systems and State Variables
Fourier Series and Karhunen-Lo:ve Expansions
Spectral Representation of Random Processes
Problems
13 Spectral Estimation
13-1 Ergodicity
13-2 Spectral Estimation
13-3 Extrapolation and System Identification
Appendix 13A Minimum-Phase Functions
Appendix 13B All-Pass Functions
Problems
14 Mean Square Estimation
14-1 Introduction
14-2 Prediction
13 Filtering and Prediction
14-4 Kalman Filters
Problems
15 Entropy
15-1 Introduction
!5-2 Basic ,Concepts
15-3 R/ndom Variables and Stochastic Processes
15-4 Th 'Maximum Entropy Method
Coding
Clann? Capacity
Froblems
Selected Topics
The Level-Crossing Problem
Queueing Theo
Shot Noise
Markoff Processes
Problems
Bibliography
Index 661

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关键词：Probability Stochastic Variables Processes Variable Random versus 经典 书籍 影响

贵！ 不买！！！

太贵了

，确实贵，10个还差不多。

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