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EQ2830 Detection and Modulation Theory, Accelerated Program 7.5 credits

Contents: This course provides an introduction to the fundamentals of detection theory with applications to digital communications. The course also covers the basics of estimation theory and the design of modulation signal waveforms.

Outline:

  • Classical estimation and detection theory, discrete-time/vector models
  • Representation of continuous-time stochastic processes
  • Detection of continuous-time waveforms
  • Estimation of signal parameters
  • Gaussian signals in AWGN
  • Detection of random processes in noise
  • Estimating the parameters of a random process
Course offering missing for current semester as well as for previous and coming semesters
Headings with content from the Course syllabus EQ2830 (Autumn 2007–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

A brief outline is as follows:

  • Classical estimation and detection theory, discrete-time/vector models
  • Representation of continuous-time stochastic processes
  • Detection of signals, continuous-time waveforms
  • Estimation of signal parameters
  • Gaussian signals in AWGN
  • Detection of random processes in noise
  • Estimating the parameters of a random process

Two versions: The course is eligible for undergraduate, master and doctoral students. There will be two versions:

  • 2E1434: An accelerated program (forskarförberedande) version, 5 cu's
  • F2E5634: A Ph.D. student version, 8 cu's

Intended learning outcomes

This course provides an introduction to the fundamentals of detection theory with applications to digital communications. The course also covers the basics of estimation theory and the design of modulation signal waveforms.

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

General admission requirements

Recommended prerequisites

EQ2310 Digital Communications.

Equipment

No information inserted

Literature

The course is based on the two classic volumes

  • H. L. Van Trees, "Detection, Estimation and Modulation Theory," Part I (Wiley: paperback ISBN 0-471-095176)
  • H. L. Van Trees, "Detection, Estimation and Modulation Theory," Part III: Radar-Sonar Signal Processing and Gaussian Signals in Noise (Wiley: paperback ISBN 0-471-10793-x)

The accelerated program version of the course uses only Part I while the Ph.D. student version uses both parts.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • TEN1 - Examination, 7.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

The main focus is on extensive homework problems that must be handed in according to a schedule.
The accelerated program version will in addition include an exam.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Tobias Oechtering

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web EQ2830

Offered by

EES/Information Science and Engineering

Main field of study

No information inserted

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Tobias Oechtering

Supplementary information

 Given every second year. Given period 2 10/11.