Principles of Signal Detection and Parameter Estimation
This new textbook is for contemporary signal detection and parameter estimation courses offered at the advanced undergraduate and graduate levels. It presents a unified treatment of detection problems arising in radar/sonar signal processing and modern digital communication systems. The material is...
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| Format: | Electronic eBook |
| Language: | English |
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Boston, MA :
Springer US,
2008.
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- I Foundations
- Binary and Mary Hypothesis Testing
- Tests with Repeated Observations
- Parameter Estimation Theory
- Composite Hypothesis Testing
- Robust Detection
- II Gaussian Detection
- Karhunen Loeve Expansion of Gaussian Processes
- Detection of Known Signals in Gaussian Noise
- Detection of Signals with Unknown Parameters
- Detection of Gaussian Signals in WGN
- EM Estimation and Detection of Gaussian Signals with unknown parameters
- III Markov Chain Detection
- Detection of Markov Chains with Known Parameters
- Detection of Markov Chains with Unknown Parameters.