Principles of Signal Detection and Parameter Estimation
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer US : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-0-387-76544-0 |
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.