Course­ Manual SMP

Signalprocessing using Matlab/Python and Microprocessors

PDF Course Catalog Deutsche Version: SMP

Version: 2 | Last Change: 11.09.2019 21:45 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben

Long name Signalprocessing using Matlab/Python and Microprocessors
Approving CModule SMP_BaET, SMP_BaTIN
Responsible
Prof. Dr. Harald Elders-Boll
Professor Fakultät IME
Valid from winter semester 2022/23
Level Bachelor
Semester in the year winter semester
Duration Semester
Hours in self-study 78
ECTS 5
Professors
Prof. Dr. Harald Elders-Boll
Professor Fakultät IME

Prof. Dr. Uwe Dettmar
Professor Fakultät IME

Prof. Dr.-Ing. Christoph Pörschmann
Professor Fakultät IME
Requirements Basic procedural programming skills
Basic knowledge of digital signal processing: Sampling Theorem, Digital Filter, Fourier Transform
Language German and English
Separate final exam Yes
Literature
Welch, Wright, Morrow: Real-Time Digital Signal Processing (CRC Press)
Final exam
Details In their projects students implement given methods for digital signal processing in small teams and thereby show their ability to develop signal processing applications for various purposes.

For the final grade the poject work, the project results, the final project presentation and the written project report are evaluated and scored according to different criteria and the final grade is derived form the total score.
Minimum standard 50% of the maximum achievable total score.
Exam Type EN mündlicher Ergebnisbericht (Vortrag / Präsentation)

Learning goals
Goal type Description
Knowledge Principles of Digital Signal Processing:
Sampling and Reconstruction
Digital Filters
DFT and FFT
Fast FFT-based Convolution
Sectral Analysis
Signal Generation

Real-time Signal Processing:
Interrupt and Polling
Block-based Signal Processing
Skills Apply fundamentals of digital signal processing:
Understanding of and ablilty to explain the fundamental principles of digital signal processing
Ability to compare and evaluate different digital filter types and different implementations

Implementation of real-time DSP:
Ability to explain the general problem of real-time DSP
Abilty to name aspects influencing the processing speed
Understanding of and ablilty to explain the fundamental methods of real-time digital signal processing
Expenditure classroom teaching
Type Attendance (h/Wk.)
Lecture 1
Tutorial (voluntary) 0
Special requirements
none
Accompanying material Lecture slides
Example code snippets
Separate exam No

Learning goals
Goal type Description
Skills Implementation of fundamental methods and procedures for signal processing in Python/Matlab and on microprozessors.
Expenditure classroom teaching
Type Attendance (h/Wk.)
Practical training 2
Tutorial (voluntary) 0
Special requirements
none
Accompanying material Lab instructions with code skeletons
Separate exam No

Learning goals
Goal type Description
Skills Implementation Python/Matlab:
Program, debug and optimize algorithm in Python Matlab.

Implementierung on microporocessor:
Port algorithm to target micorprocessor platform
Familiarity with development environment
Optimize algorithm for target platform

Solve complex tasks in team work:
Plan simple projects
Keep agreements and deadlines
Schedule and carry out reviews

Implementation of DSP algorithm on microporcessor platform:
Understand given methods for digital signal processing
Obtain required references for given methods
Translate mathematical methods to program code
Test, verify, and optimize program code

Presentation of results:
Presentation of project results
Expenditure classroom teaching
Type Attendance (h/Wk.)
Project 1
Tutorial (voluntary) 0
Special requirements
none
Accompanying material Installed software on lab computers
Microprozessor boards with code skeletons for free develpoment environment
Separate exam No

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