700.603 (18S) Statistical Signal Processing and Applications
Overview
- Lecturer
- Course title german Statistical Signal Processing and Applications
- Type Lecture - Course (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 5 (40 max.)
- Organisational unit
- Language of instruction English
- Course begins on 07.03.2018
- eLearning Go to Moodle course
Time and place
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Course Information
Intended learning outcomes
This course focuses on the basics of the statistical estimation methods, mainly classical and Bayesian estimation methods. The course describes the application of statistical parameter and state estimation to extract information from received signals in noise.
Teaching methodology including the use of eLearning tools
The course is organized with the aid of lectures with slides and the white board. Further, some practical examples are presented to students to help them understand the concepts discussed in the lecture.
Course content
Contents
- Basics
- Random Variables
- Random Variables and Vectors, Intro to Estimation
- Cramer Rao Lower Bound, Estimation in Linear Models
- Classical (Parameter) Estimation
- LeaseSquares Estimation
- MaximumLikelihood Estimation
- Bayesian Estimation
- Introduction to Bayes Estimation
- Linear Bayes Parameter Estimation
- State Estimation
- Sequential Bayesian State Estimation
- Kalman Filter
- Introduction to Non-linear state Estimation (Optional)
- Extended Kalman Filter
- Unscented Kalman Filter
- Particle Filter
Literature
- Steven M. Kay, "Fundamentals of Statistical Signal Processing: Estimation Theory", Prentice Hall, Vol.1, April 1993.
- Dan Simon, "Optimal State Estimation - Kalman, H-infinity and NonLinear Approaches", John Wiley & Sons, 2006
Examination information
Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.
Examination methodology
Oral exam at the end of the semister
Examination topic(s)
Topics discussed in the lecture
Assessment criteria / Standards of assessment for examinations
Oral exam
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Networks and Communications: Advanced (NC)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (siehe Anhang 2) (
0.0h VO, VK / 30.0 ECTS)
- 700.603 Statistical Signal Processing and Applications (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (siehe Anhang 2) (
0.0h VO, VK / 30.0 ECTS)
-
Subject: Networks and Communications: Advanced (NC)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
- 700.603 Statistical Signal Processing and Applications (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
- 700.603 Statistical Signal Processing and Applications (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
- 700.603 Statistical Signal Processing and Applications (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
- 700.603 Statistical Signal Processing and Applications (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Networks and Communications (WI)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (siehe Anhang 2) (
0.0h VO, VK / 30.0 ECTS)
- 700.603 Statistical Signal Processing and Applications (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (siehe Anhang 2) (
0.0h VO, VK / 30.0 ECTS)
-
Subject: Networks and Communications (WI)
(Compulsory elective)
Equivalent courses for counting the examination attempts
-
Sommersemester 2017
- 700.603 VC Statistical Signal Processing and Applications (2.0h / 4.0ECTS)