COURSE SYLLABUS

DSP-systems in practice 7.5 Credits

DSP-system i praktiken
First cycle, S0002E
Version
Course syllabus valid: Spring 2013 Sp 3 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Syllabus established
by the Department of Computer Science and Electrical Engineering 28 Feb 2007

Last revised
by Jonny Johansson, HUL SRT 13 Mar 2012

Education level
First cycle
Grade scale
U G#
Subject
Signal Processing
Subject group (SCB)
Computer Technology

Entry requirements

In order to meet the general entry reguirements for first cycle studies you must have successfully completed upper secondary education and documented skills in English language and Courses of at least 60 credits at first cycle including the following knowledge/courses: Mathematics (corrresponding to M0031M), linear analysis (M0018M) and basic signal analysis (S0001E). Alternative: Alternative to completed courses can be corresponding knowledge acquired through work within the IT or electronics sector.


More information about English language requirements


Selection

Selection B



Course Aim
After completion of the course, the students shall have knowledge and understanding of
  • The architecture of digital signal processors (DSPs)
  • The effect on linear and time invariant systems as a consequence of finite bit depth in the DSP architecture (e.g. quantization of filter coefficients), and methods for mitigating these effects
  • Fundamentals of filter design.

At the end of the course, the student should be able to:
  • Implement digital processing algorithms on a DSP processor
  • Debug and analyze the system’s behavior
  • Verify algorithm functionality.
  • Present and demonstrate the results orally and in written reports.

The students should also be able to judge
  • If a specific task is possible to implement on a specific system given real-time and memory constraints.

Contents
Basics of sampling, real-time hardware architecture, digital filter structures, quantization, real-time applications and use of development tools.

Realization
Lectures, laboratory exercises and problem solving sessions.

Examination
Graded laboratory exercises and graded final project report with oral presentation.

Examiner
Johan Carlson

Transition terms
The course S0002E is equal to SMS045

Literature. Valid from Spring 2013 Sp 3 (May change until 10 weeks before course start)
Course material will be handed out at course start.

Course offered by
Department of Computer Science, Electrical and Space Engineering

Items/credits
NumberTypeCreditsGrade
0001Laboratory work4.5U G#
0002Project3.0U G#

Study guidance
Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.