Estimation and Detection Theory

Lecturer:  Alexander Charlish

Supervisor:  Zekai Liang

Type:  Master Lecture

Lecture(2), RWTHOnline

Exercise(1), RWTHOnline

Course language: German

Content

The lecture will introduce the basics of detection and estimation theory, which are the basis for the second semester course "Algorithm Design of Digital Receivers". The lecture divides into the following parts:

  • Review of probability theory
  • Detection theory: Binary decisions
    • Single observation
    • Multiple observations, waveform observation
  • Detection theory: Multiple decisions
  • Viterbi algorithm
  • Symbol-by-symbol MAP algorithm
  • Estimation fundamentals
  • Estimation with Gaussian noise
  • Properties of estimators
  • Estimation of random processes
    • Kalman filter
    • Wiener filter

 

Lecture:

from Tuesday, October 8, 2019
14:30 - 16:00
ICT Cubes 002 (2320|002)

Exercise:

from Thursday, October 11, 2018
16:30 - 17:15
ICT Cubes 002 (2320|002)