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绝对经典-斯坦福的随机信号处理教材

资料介绍
Stanford University - An Introduction to Statiscal Signal ProcessingAn Introduction to Statistical Signal Processing

f 1 (F )

f

F Pr(f ∈ F ) = P ({ω : ω ∈ F }) = P (f 1 (F ))



May 5, 2000

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An Introduction to Statistical Signal Processing
Robert M. Gray and Lee D. Davisson

Information Systems Laboratory Department of Electrical Engineering Stanford University and Department of Electrical Engineering and Computer Science University of Maryland

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c 1999 by the authors.

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to our Families

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Contents
Preface Glossary 1 Introduction 2 Probability 2.1 Introduction . . . . . . . . . . . . . . . 2.2 Spinning Pointers and Flipping Coins 2.3 Probability Spaces . . . . . . . . . . . 2.3.1 Sample Spaces . . . . . . . . . 2.3.2 Event Spaces . . . . . . . . . . 2.3.3 Probability Measures . . . . . . 2.4 Discrete Probability Spaces . . . . . . 2.5 C
绝对经典-斯坦福的随机信号处理教材
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