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Principles of signal detection and parameter estimation

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Cover of 'Principles of signal detection and parameter estimation'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Binary and Mary Hypothesis Testing
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    Chapter 3 Tests with Repeated Observations
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    Chapter 4 Parameter Estimation Theory
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    Chapter 5 Composite Hypothesis Testing
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    Chapter 6 Robust Detection
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    Chapter 7 Karhunen Loeve Expansion of Gaussian Processes
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    Chapter 8 Detection of Known Signals in Gaussian Noise
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    Chapter 9 Detection of Signals with Unknown Parameters
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    Chapter 10 Detection of Gaussian Signals in WGN
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    Chapter 11 EM Estimation and Detection of Gaussian Signals with unknown parameters
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    Chapter 12 Detection of Markov Chains with Known Parameters
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    Chapter 13 Detection of Markov Chains with Unknown Parameters
Attention for Chapter 8: Detection of Known Signals in Gaussian Noise
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