Course Digital Signal Processing

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

Course

Meets requirements of following modules(MID)

• in active programs
  • Ma CSN2012 DSP
  • Ma TIN2012 DSP

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

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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