De elektronische studiegids voor het academiejaar 2025 - 2026 is onder voorbehoud.





DSP (4291)
  
Coordinating lecturer :Prof. dr. ir. Momo SAFARI 

Language of instruction : English
Credits: 4,0
  
Period: semester 2 (4sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Sequentiality
 
   Advising sequentiality bound on the level of programme components
 
 
Group 429125
 
  Following programme components are advised to also be included in your study programme up till now.
    Feedback and control systems (4295) 4.0 stptn
 
   Advising sequentiality bound on the level of programme components
 
 
Group 429125
 
  Following programme components are advised to also be included in your study programme up till now.
    Feedback and control systems (4295) 4.0 stptn
 

Content

Signal processing plays an important role in a broad range of engineering systems where sampling, processing, presentation and storage of data is relevant. This course aims to provide a solid understanding of digital signal processing fundamentals and techniques such as the design and analysis of the analog and digital filters and signal transformations between the time and frequency domains.

During this course, the basic knowledge and experience will be built in the following main topics:

  • Discrete-time signals and systems
  • Convolution, modulation, sampling, Fourier and Z- transform
  • Digital filters


Organisational and teaching methods
Organisational methods  
Application Lecture ✔  
Teaching methods  
Demonstration ✔  
Exercises ✔  
Homework ✔  


Evaluation

Semester 2 (4,00sp)

Evaluation method
Written evaluaton during teaching periode30 %
Transfer of partial marks within the academic year✔
Homework✔
Written exam70 %
Closed-book ✔

Second examination period

Evaluation second examination opportunity different from first examination opprt
No
Explanation (English)There is no second chance for the written evaluation during the teaching period (homework). The results from the first exam period will be transferred. Only the written exam can be retaken.
 

Compulsory course material
 

The electronic learning platform will be used for the communication with the students with respect to the home-works, assignments and study materials.
 

Recommended reading
  Digital Signal Processing using Matlab,Vinay K. Ingle,9780495073116

Digital signal processing, principles, algorithms, and applications,John G. Proakis et al.,9780029463789
 

Remarks
 

Relationship with research

This course provides students with a series of general analytical tools that are beneficial to a broad range of research from applied engineering and data science to physics/chemistry.  Therefore, the concepts are presented in a way independent of a specific field of research but rather examples are discussed from different domains to demonstrate the potential applications.

Situation of the course in the curriculum

The digital signal processing field has interfaces with electronics (AD-DA converters, amplifiers, filters), electronic designs and measuring systems.

Inflow Relationship with other courses

This course builds on prior knowledge from system theory (e.g. Laplace transform, Fourier transform), mathematics (complex arithmetic), control engineering (e.g. feedback, Z transform) and electronics (electronic components)

Relationship with the professional field

Knowledge from the field of digital signal processing is useful among others in the electronic industry, in the automation sector (filters), multimedia world (signal processing, audio, image), and communication and telephone sectors.


Learning outcomes
Bachelor of Engineering Technology
  •  EC 

    • EC1 - The holder of thedegreepossesses general scientific and technological application-oriented knowledge of the basic concepts, structures and coherence of the specific domain.

     
  •  DC 

    • EA 1.9 The student knows the basic theory of digital signals and systems.

      
  •  BC 
    		• The student is familiar with the concepts and techniques for the representation and processing of the discrete-time signals and systems.
  •  EC 

    • EC2 - The holder of thedegreepossesses general scientific and discipline-related engineering-technical insight in the basic concepts, methods, conceptual frameworks and interdependent relations of the specific domain.

     
  •  DC 

    • EA 2.8 The student has a deep understanding in digital filters.

      
  •  BC 
    		• The student has a deep understanding of the purpose and structure of the digital filters.
  •  EC 

    • EC5 - The holder of thedegreecan analyse unknown, domain-specific problems, subdivide them, structure them logically, determine the preconditions and interpret the data scientifically.

     
  •  DC 

    • EA 5.6 The student can analyse the discrete signals and LSI systems.

      
  •  BC 
    		• The student can efficiently analyse the discrete sequences and systems using the Fourier and Z transform.
  •  EC 

    • EC6 - The holder of thedegreecan select and use adequate solution methods to solve unknown, domain-specific problems and can work methodologically and make solid design choices.

     
  •  DC 

    • EA 6.7 The student can select and design an appropriate digital filter.

      
  •  BC 
    		• The student can design the FIR and IRR digital filters.
  •  EC 

    • EC7 - The holder of thedegreecan use the selected methods and tools innovatively to systematically implement domain-specific solutions and designs while being aware of practical and economic conditions and company-related implications.

     
  •  DC 

    • EA 7.6 The student can implement the solution algorithms in a computational framework.

      
  •  BC 

    • The student can design the FIR and IRR digital filters. The student can use matlab or similar programs for digital signal processing.

 
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Offered inTolerance3
3rd year Bachelor of Engineering Technology - Electronics and ICT Engineering Technology J
3rd year Bachelor of Engineering Technology - Nuclear Engineering Technology J
3rd year Bachelor of Engineering Technology - Software Systems Engineering Technology J
Bridging programme Electronics and ICT Engineering Technology - part 1 J
Bridging programme Nuclear Engineering Technology - common part 2 J
Exchange Programme Engineering Technology J
Preparation Programme Nuclear Engineering Technology - Environmental Engineering Technology J
Preparation Programme Nuclear Engineering Technology - Nuclear and Medical Engineering Technology J



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