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

Signal Model Estimator-correlator

Deterministic Approach Neyman-Person Theorem Receiver Operation Characteristics Bayesian Approach Minimum Probability of Error Bayes Risk Multiple Hypothesis Test

Introduction Warming Up - Review

1 A problem in perceptron 2 Linear SVM in LSC 3 SVM in LIC 4 Kernel Functions 5 Nonlinear SVM 6 SMO Algorithm

1 A Case 2 Least Squares Method 3 From Linear to Nonlinear: Using Linear Model 4 How Regression Got Its Name 5 Probability Interpretation 6 Bias–Variance Dilemma

1 Definition of Statistical Learning 2 Application Case of Statistical Pattern Recognition 3 SPR System Framework and Design Cycle 4 Basic Concepts 5 Machine Learning in Different AI Disciplines

电子科技大学：《随机过程及应用 Stochastic Processes and Applications》课程教学资源（课件讲稿）第6章 马尔科夫过程 第1节 马尔科夫过程的概念

电子科技大学：《随机过程及应用 Stochastic Processes and Applications》课程教学资源（课件讲稿）第5章 平稳随机过程 第3节 平稳过程的各态历经性

电子科技大学：《随机过程及应用 Stochastic Processes and Applications》课程教学资源（课件讲稿）第5章 平稳随机过程 第2节 平稳过程的自相关函数