Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED BME
Date of Decision: 2024-04-16
Effective: 2024-05-08
Depth of study relative to the degree requirements: Second cycle, in-depth level of the course cannot be classified
Elective for: BME4-sbh, C4, D4-ssr, E4-ss, E4-bg, F5, F5-ss, MSOC2, MWIR2, Pi4-ssr
Language of instruction: The course will be given in English
The course provides basic knowledge in statistical signal processing and the theory of optimal methods and how they can be applied. The course presents signal processing methodology and solutions to problems where digital systems tune in automatically and adapt to the environment. The student is given enough theoretical and practical knowledge to independently be able to formulate the mathematical problem, solve it and implement the solution for use with real-life signals.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Judgement and approach
For a passing grade the student must
Optimum filtering
Basics about adaptive filters
The LMS family
The RLS family
Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: The grade is based on the exam in the end of the course.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Modules
Code: 0119. Name: Written Exam.
Credits: 6.0. Grading scale: TH - (U, 3, 4, 5).
Assessment: Written Examination.
Code: 0219. Name: Project.
Credits: 1.5. Grading scale: UG - (U, G).
Assessment: Project Report.
Assumed prior knowledge:
EITF75 Digital signal processing OR EITA50 Signal processing in multimedia OR EITF15, BMEF25 Digital signal processing - theory and applications OR BMEA05 Signals and systems OR EITG10 Systems, Signals and Discrete Transforms
The number of participants is limited to: No
Kursen överlappar följande kurser:
ETTN05
ETT042
Course coordinator: Frida Sandberg,
frida.sandberg@bme.lth.se
Course coordinator: Martin Stridh,
martin.stridh@bme.lth.se
Course homepage: https://www.bme.lth.se/course-pages/optimal-och-adaptiv-signalbehandling/optimum-and-adaptive-signal-processing/