Description

Book Synopsis
An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering.

Trade Review
"The reader will find an excellent presentation ranging from the basic concepts of probability theory to the advanced topics of RP, filtering, estimation and detection." (IIE Transactions on Operations Engineering)

Table of Contents

Preface xv

1 Experiments and Probability 1

2 Random Variables 37

3 Estimation of Random Variables 133

4 Random Processes 179

5 Linear Systems: Random Processes 247

6 Nonlinear Systems: Random Processes 295

7 Optimum Linear Filters: The Wiener Approach 335

8 Optimum Linear Systems: The Kalman Approach 383

9 Detection Theory: Discrete Observation 423

10 Detection Theory: Continuous Observation 511

Appendixes

Index 599

Random Processes

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Order before 4pm today for delivery by Mon 19 Jan 2026.

A Hardback by Lonnie C. Ludeman

15 in stock


    View other formats and editions of Random Processes by Lonnie C. Ludeman

    Publisher: John Wiley & Sons Inc
    Publication Date: 24/01/2003
    ISBN13: 9780471259756, 978-0471259756
    ISBN10: 0471259756

    Description

    Book Synopsis
    An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering.

    Trade Review
    "The reader will find an excellent presentation ranging from the basic concepts of probability theory to the advanced topics of RP, filtering, estimation and detection." (IIE Transactions on Operations Engineering)

    Table of Contents

    Preface xv

    1 Experiments and Probability 1

    2 Random Variables 37

    3 Estimation of Random Variables 133

    4 Random Processes 179

    5 Linear Systems: Random Processes 247

    6 Nonlinear Systems: Random Processes 295

    7 Optimum Linear Filters: The Wiener Approach 335

    8 Optimum Linear Systems: The Kalman Approach 383

    9 Detection Theory: Discrete Observation 423

    10 Detection Theory: Continuous Observation 511

    Appendixes

    Index 599

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