Applied Signal Processing
7,5 credits, course, master's level, S7011E
How can a system adapt in real time to a changing environment? Adaptive signal processing forms the foundation of noise reduction, echo cancellation, channel estimation, and many modern intelligent systems.
This advanced-level course covers central concepts in applied and adaptive signal processing, including Wiener filtering, spectral estimation, signal modeling, and adaptive filtering. The emphasis is on understanding the underlying mathematical principles and being able to implement, compare, and evaluate different methods depending on the application.
You will develop the ability to model and simulate practical systems based on stochastic signals, and to extend and analyze algorithms from a theoretical perspective. The laboratory work addresses research-related problems, and results are presented in written reports in English.
The course provides advanced analytical competence essential for work in signal processing, communication systems, machine learning, and engineering research.
For Programme students
LTU-27799
Open for late application!
Apply to Applied Signal Processing
Period 2 - 2, v. 45 2026 - v. 2 2027, module 1+6, LuleåNormal teachingDay-time 50%Autumn 2026
Optional course within programmes. Can be applied for within the optional space of a programme.
Selectable course in the following programmes:
Mandatory course in the following programmes:
Application for Freestanding course (En)
LTU-27799
Open for late application!
Apply to Applied Signal Processing
Period 2 - 2, v. 45 2026 - v. 2 2027, module 1+6, LuleåNormal teachingDay-time 50%Autumn 2026
Only a few freestanding places are available. This course is part of a programme.
Application for Exchange students at LTU
LTU-27799
Open for late application!
Apply to Applied Signal Processing
Period 2 - 2, v. 45 2026 - v. 2 2027, module 1+6, LuleåNormal teachingDay-time 50%Autumn 2026
Course offered in English to prospective exchange student, nominated for exchange by home university.
7,5 credits, course, master's level, S7011E
How can a system adapt in real time to a changing environment? Adaptive signal processing forms the foundation of noise reduction, echo cancellation, channel estimation, and many modern intelligent systems.
This advanced-level course covers central concepts in applied and adaptive signal processing, including Wiener filtering, spectral estimation, signal modeling, and adaptive filtering. The emphasis is on understanding the underlying mathematical principles and being able to implement, compare, and evaluate different methods depending on the application.
You will develop the ability to model and simulate practical systems based on stochastic signals, and to extend and analyze algorithms from a theoretical perspective. The laboratory work addresses research-related problems, and results are presented in written reports in English.
The course provides advanced analytical competence essential for work in signal processing, communication systems, machine learning, and engineering research.
For Programme students
LTU-27799
Open for late application!
Apply to Applied Signal Processing
Period 2 - 2, v. 45 2026 - v. 2 2027, module 1+6, LuleåNormal teachingDay-time 50%Autumn 2026
Optional course within programmes. Can be applied for within the optional space of a programme.
Selectable course in the following programmes:
Mandatory course in the following programmes:
Application for Freestanding course (En)
LTU-27799
Open for late application!
Apply to Applied Signal Processing
Period 2 - 2, v. 45 2026 - v. 2 2027, module 1+6, LuleåNormal teachingDay-time 50%Autumn 2026
Only a few freestanding places are available. This course is part of a programme.
Application for Exchange students at LTU
LTU-27799
Open for late application!
Apply to Applied Signal Processing
Period 2 - 2, v. 45 2026 - v. 2 2027, module 1+6, LuleåNormal teachingDay-time 50%Autumn 2026
Course offered in English to prospective exchange student, nominated for exchange by home university.
Kontakt
Johan Carlson
- Professor
- 0920-492517
- johan.carlson@ltu.se
- Johan Carlson
Updated: