Random processes filtering, estimation, and detection
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. The filtering, estimation, and detec...
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Format: | eBook |
Language: | English |
Published: |
Hoboken, N.J.
Wiley-Interscience
2003
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Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- Preface.
- Experiments and Probability.
- Random Variables.
- Estimation of Random Variables.
- Random Processes.
- Linear Systems: Random Processes.
- Nonlinear Systems: Random Processes.
- Optimum Linear Filters: The Wiener Approach.
- Optimum Linear Systems: The Kalman Approach.
- Detection Theory: Discrete Observation.
- Detection Theory: Continuous Observation.
- Appendix A. The Bilateral Laplace Transform.
- Appendix B. Table of Binomial Probabilities.
- Appendix C. Table of Discrete Random Variables and Properties.
- Appendix D. Table of Continuous Random Variables and Properties.
- Appendix E. Table of Gaussian Cumulative Distribution Function.
- Index