7.1 Chapter highlights 7.2 Unknown phase 7.3 Unknown phase and amplitude 7.4 Diversity approaches & performances

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（教学大纲，何子述）

3.1 问题描述 3.2 随机参量的Bayes估计 3.3 ML估计 3.4 估计量的性质 3.5 线性最小均方误差估计 3.6 最小二乘估计

3 1 问题描述 3.2 随机参量的Bayes估计 3.3 ML估计 3.4 估计量的性质 3.5 线性最小均方误差估计 3.6 最小二乘估计

10.1 Chapter highlights • Parameter estimation problem formulation • Properties of estimators • Bayes estimation • Minimax estimation • Maximum-likelihood estimation • Comparison of estimators of parameters 10.2 Formulation of the general parameter estimation problem 10.3 Types of estimation problems 10.5 Properties of estimators 10.6 Bayes estimation 10.7 Minimax estimation 10.8 Maximum-likelihood estimation

11.1 Chapter highlights • Parameter estimation in WGN • Amplitude estimation in the coherent case • Amplitude estimation in the noncoherent case • Phase estimation in WGN • Time-delay estimation in WGN • Frequency estimation in WGN 11.2 Parameter estimation in WGN 11.4 Amplitude estimation in the coherent case with WGN 11.5 Amplitude estimation in the noncoherent case with WGN 11.6 Phase estimation in WGN 11.7 Time-delay estimation in WGN 11.8 Frequency estimation in WGN

5.5 The optimum digital detector in additive Gaussian noise 5.6 Filtering alternatives 5.7 Continuous signals - White Gaussian noise 5.8 Continuous signals - Colored Gaussian noise 5.9 Performance of binary receivers in AWGN 5.11 Sequential detection & performance

6.1 Chapter highlights • Composite hypothesis testing. • Unknown phase. • Unknown amplitude. • Unknown frequency. • Unknown time of arrival. 6.2 Composite hypothesis testing 6.3 Unknown phase 6.4 Unknown amplitude 6.5 Unknown frequency 6.6 Unknown time of arrival

4.1 Chapter highlights • Hypothesis testing and the MAP criterion • Extension to the general Bayes criterion • Minimax criterion • Neyman-Person criterion 4.2 Hypothesis testing & MAP criterion 4.3 Bayes criterion 4.4 Minimax criterion 4.5 Neyman-Pearson criterion

第一节 引言 第二节 高斯白噪声中已知信号的检测 第三节 高斯色噪声中已知信号的检测      第四节 白高斯色噪声随机参量信号检测 第五节 信号参量估计