Introduction & Motivation

Course Logistics Course Plan Brief Definitions of Detection & Estimation Applications of Detection & Estimation

Instructor: Alper Erdogan (ENG 221) Web:http://home.ku.edu.tr/~alperdogan/elec304/P

rerequisites:i. Basic Probability (such as ENG 200)ii. Basic Stochastic Processes ( as in ELEC

316)iii. Basic Linear Algebra iv. Signals & Systems (as in ELEC 201)

Reference:Introduction to Statistical Signal Processing:

Estimation Theory by Kay In class lecture notes+books on reserve Grading: Homeworks+Exams Questions?

£ Desired Not accessible= Not observable

x Accessible= Observable

Use x to guess £

Basic Probability Review Estimation (Classical vs. Bayesian) Linear Estimation Detection

First and informal attempt on what they are.. What they are in four words:I. Detection: Guessing DISCRETEDISCRETE valued

objects. Simple example:

11101

Communication Channel Detector

11101

11001

Now the definition for Estimation:I. Estimation: Guessing CONTINOUSCONTINOUS valued

objectsSimple Example: Direction Finding

Image Restoration (Estimation)

Baby Heart Monitoring (Estimation)

Communication Example in more detail

VoiceEncoder

Modem10111

DetectionAlgorith

m

10111

Image Classification

Face Detection & Classification

Radar Weather Forecast

Tracking Mobile Phones

Fluorescent Molecule Tracking