TT8111 - Signal and Estimation Theory


Examination arrangement

Examination arrangement: School exam
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours D

Course content

This course is taught every second year (on even years) if enough students. The course emphasizes general estimation theory with applications on various signal processing problems.

Learning outcome

A. Knowledge: Student has a 1) detailed knowledge of classical and Bayesian estimation theory and applications of these in signal processing. 2) a detailed understanding of properties of minimum variance unbiased estimators. 3) a detailed understanding of the properties of the maximum likelihood estimator and its use in signal processing. 4) detailed knowledge of least squares and its use in signal processing B. Skills: Students can 1) assess the quality of an estimator by its variance and Cramer Rao Lower Bound 2) consider different estimators and choose an appropriate method for a given signal processing purpose.

Learning methods and activities

Lectures, colloquiums, PC assignments and exercises.

Compulsory assignments

  • Exercises

Required previous knowledge

Fundamental knowledge in signal processing, statistics and probability theory.

Course materials

S. M. Kay: Fundamentals of Statistical Signal Processing, Vol. 1, Prentice Hall, 1993.

Credit reductions

Course code Reduction From To
TT8309 5.0 AUTUMN 2011
TTT4240 7.5 AUTUMN 2011
More on the course



Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Electronics
  • Telecommunication
  • Technological subjects
Contact information


Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 100/100 D 2024-06-03 09:00 PAPIR
Room Building Number of candidates
SL111 brun sone Sluppenvegen 14 10
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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