Optimal Signal Processing ET2410 (ETD008)

Course information

  • The course is given for: ETS programme
  • Credit units: 7,5 ECTS
  • Level: D, 60-80 credit units
  • Subject: Electrical Engineering (Elektroteknik)
  • Study period: period 4.
  • Place: Karlskrona
  • Responsible teacher(s): Mikael Swartling, e-mail: msw@bth.se
  • Exam: Project-like one week home exam containing theory as well as programming assignments.
  • Language: English.
  • Syllabus (swe),(eng)

COURSE OVERVIEW


The goal of this course is to give background and knowledge in the theory of optimal and statistical signal processing. The course also gives insight and experience in applied signal processing problems. After the course, the student should be able to use and implement algorithms. The course covers three areas: Iterative methods to solve normal equations, signal modelling and spectrum estimation. Common throughout the course is finding solutions by solving Least Squares problems. The courses Functions- and Matrix Theory, Stochastic Processes and Adaptive Signal Processing, or similar, are prerequisites.


Course material

Literature

  • Monson H. Hayes
    Statistical Digital Signal Processing and Modeling
    Wiley 1996
    ISBN 0-471-59431-8
  • Material from the department


Course Details

The course is organized on It's Learning course management pages, where information and materials will be published during the course.

  • Part I, Least Squares Estimation
    Hayes, chapter 4.6
  • Part II & III, Levinson Recursions
    Hayes, chapter 5.2 (not 5.2.6 and 5.2.9), 5.3
  • Part IV, Schur's Recursion, Lattice Filter
    Hayes, chapter 6
  • Part V, Padé Approximation, Prony's Method, Shanks' Method
    Hayes, chapter 4.1, 4.2, 4.3, 4.4
  • Part VI, Non-parametrical Spectrum Estimation
    Hayes, chapter 8.2
  • Part VII, Parametrical Spectrum Estimation
    Hayes, chapter 8.3, 8.4, 8.5, 8.6, 8.7

For access to the course web page, contact Mikael Swartling (msw@bth.se).

Edit
Share Share