Page 6 - Classification Parameter Estimation & State Estimation An Engg Approach Using MATLAB
P. 6
Contents
Preface xi
Foreword xv
1 Introduction 1
1.1 The scope of the book 2
1.1.1 Classification 3
1.1.2 Parameter estimation 4
1.1.3 State estimation 5
1.1.4 Relations between the subjects 6
1.2 Engineering 9
1.3 The organization of the book 11
1.4 References 12
2 Detection and Classification 13
2.1 Bayesian classification 16
2.1.1 Uniform cost function and minimum error rate 23
2.1.2 Normal distributed measurements; linear
and quadratic classifiers 25
2.2 Rejection 32
2.2.1 Minimum error rate classification with
reject option 33
2.3 Detection: the two-class case 35
2.4 Selected bibliography 43
2.5 Exercises 43
3 Parameter Estimation 45
3.1 Bayesian estimation 47
3.1.1 MMSE estimation 54
