Random signal processing
Providing detailed coverage of Wiener filtering and Kalman filtering, this book presents a coherent treatment of estimation theory and an in-depth look at detection theory for communication and pattern recognition.
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| Format: | Book |
| Language: | English |
| Published: |
Englewood Cliffs, NJ
Prentice Hall
c1995
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Table of Contents:
- Introduction
- Probability
- Random Variables
- Random Vectors
- Signal Analysis Techniques
- Stochastic Processes
- Least-Squares Techniques
- Optimum Filtering
- Template Matching
- Appendix A: Table of Normal Curve Areas
- Appendix B: Gauss-Jordan Matrix Inversion
- Appendix C: Symbolic Differentiation