电子科技大学：《测试信号分析与信息处理 Testing Signal Analysis and Information Processing》课程教学资源（教学大纲）

一、静态特性 二、动态特性 三、不失真测试条件 四、测试系统的动态误差

一、时间序列的定义 二、时序的时域特征值 三、时序的相关分析 四、时序的功率谱分析

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（课件讲稿）Introduction、Chapter 01 Preparations

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

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

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

Introduction Warming Up - Review

Signal Model Matched Filter Review: NP theorem Development of the Detector Performance of Matched Filter Generalized Matched Filter Multiple Signal M-ary Detector

电子科技大学：《信号检测与估计 Signal Detection and Estimation》课程教学资源（课件讲稿）Chapter 06 Statistical Detection Theory II