Course Digital Signal Processing


Responsible: Prof. Dr.-Ing. Harald Elders-Boll

Course

Meets requirements of following modules(MID)

Course Organization

Version
created 2013-04-25
VID 2
valid from WS 2012/13
valid to
Course identifiers
Long name Digital Signal Processing
CID F07_DSP
CEID (exam identifier)

Contact hours per week (SWS)
Lecture 2
Exercise (unsplit) 1
Exercise (split)
Lab 1
Project
Seminar
Tutorial(voluntary)
Total contact hours
Lecture 30
Exercise (unsplit) 15
Exercise (split)
Lab 15
Project
Seminar
Tutorial (voluntary)
Max. capacity
Exercise (unsplit) 15
Exercise (split)
Lab 15
Project 15
Seminar

Total effort (hours): 150

Instruction language

  • Englisch

Study Level

  • Graduate

Prerequisites

  • No formal requirements, but students will be expected to be familiar with:
    • Basic Knowledge of Signals and Systems
      • Continuous-Time LTI-Systems and Convolution
      • Fourier-Transform
    • Basic Knowledge of Probability and Random Variables

Textbooks, Recommended Reading

  • John G. Proakis and Dimitris K. Manolakis. Digital Signal Processing (4th Edition). Prentice Hall, 2006.
  • Alan V. Oppenheim, Ronald W. Schafer. Discrete-Time Signal Processing (3rd Edition). Prentice Hall, 2007.
  • Vinay Ingle and John Proakis. Digital Signal Processing using MATLAB. Cengage Learning Engineering, 2011.

Instructors

  • Prof.Dr. Harald Elders-Boll

Supporting Scientific Staff

  • Dipl.-Ing.Martin Seckler

Transcipt Entry

Digital Signal Processing

Assessment

Type
oE oral exam (80%), normal case (large number of assessments: wE)

Total effort [hours]
oE 10

Frequency: 2-3/year


Course components

Lecture/Exercise

Objectives

Additional Component Assessment

Type
fAP 2-3 tests
fPS tutorial

Contribution to course grade
fAP 20%
fPS not rated

Frequency: 1/Jahr

Lab

Objectives

Additional Component Assessment

Type
fSZ lab experiments

Contribution to course grade
fSZ prerequisite for the final exam

Frequency: 1/Jahr

Topic-Revision: r4 - 11 Jan 2016, GeneratedContent
 
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