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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    A Hardback by Lonnie C. Ludeman

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      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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