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

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

1 概率密度估计 2 直方图方法 3 Parzen 窗 4 K 近邻密度估计 k 近邻分类器

1 统计学习的定义 2 统计模式识别的应用案例 3 统计模式识别系统框架与设计周期 统计模式识别系统框架 统计模式识别设计周期 4 一个案例 5 基本概念 6 机器学习在人工智能中的位置

8.2.1 聚苯乙烯磺酸锂湿敏元件 8.2.2 聚苯乙烯磺酸铵湿敏元件 8.2.3 有机季铵盐高分子电解质湿敏元件 8.2.4 胀缩性有机物湿敏元件

1 Linear Algebra Notations and Fundamental Concepts Matrix Multiplication Operational Properties Linear Space Quadratic Form and Positive Definite Matrix Matrix Calculus 2 Probability Theory Probability Space Random Variable and Its Distribution Numerical Characteristics of Random Variables Conditional Expectation Jenson’s Inequality

8.3.1 机理 8.3.2 聚苯乙烯薄膜湿敏元件 8.3.3 醋酸纤维有机膜湿敏元件

8.1.1 湿度测量技术 8.1.2 湿度及其表示方法 8.1.3 湿度传感器及其特性参数