The objective of the course is to provide ability to specify and design frequency selective FIR and IIR filters using the most common methods. In essence, the student understands the concepts of aliasing and imaging, and understands their key role in digital signal processing applications.
At concrete level, after the course the student is able to solve for the impulse and frequency responses of FIR and IIR filters given as difference equations, transfer functions, or realization diagrams. Furthermore, the student is able to explain the basic impacts of using finite word length in filter designs, and more generally, in digital signal processing.
After the course the student has the necessary basic skills to use signal processing tools available in Numpy or Matlab environments and is able to judge the results.
The course can be passed through week exams or a final exam. All In addition, the exercises need to be returned and accepted.
Although the course is held in remote mode in 2021, pen and paper will be in extensive use as this contributes to learning.
At concrete level, after the course the student is able to solve for the impulse and frequency responses of FIR and IIR filters given as difference equations, transfer functions, or realization diagrams. Furthermore, the student is able to explain the basic impacts of using finite word length in filter designs, and more generally, in digital signal processing.
After the course the student has the necessary basic skills to use signal processing tools available in Numpy or Matlab environments and is able to judge the results.
The course can be passed through week exams or a final exam. All In addition, the exercises need to be returned and accepted.
Although the course is held in remote mode in 2021, pen and paper will be in extensive use as this contributes to learning.
- Opettaja: Arttu Haverinen
- Opettaja: Olli Silvén