Opinto-opas 2005-2006

SGN-2406 SPECTRUM ESTIMATION AND ARRAY SIGNAL PROCESSING, 4 cr
SPECTRUM ESTIMATION AND ARRAY SIGNAL PROCESSING

Person responsible
Prof. Ioan Tabus

Lecturers
Ioan Tabus, Professor, room TF414, ioan.tabus@tut.fi

Implementation rounds
Implementation 1
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer Language of instruction
Lecture - 4 h/week - - - - In English only
Exercise - 2 h/week - - - - In English only
Exam   In English only
Assignment   Total: 20 h  
(Academic Calender 2005-2006)

Objectives
Teach the student about spectrum estimation methods and their applications to speech-, audio- and array-processing.

Contents
Content Core content Complementary knowledge Specialist knowledge
1. Periodogram and correlogram.
 
     
2. Nonparametric spectrum analysis.       
3. Filter-bank approach.       
4. Parametric methods for line spectra.       
5. Rational spectral models, Spatial methods.       

Requirements for completing the course
Final exam.

Assessment criteria
Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and accepted project work. Course acceptance threshold is half of the maximum exam points.

  • Used assessment scale is numeric (1-5)
  • Study material
    Type Name Author ISBN URL, edition, availablitity... Exam material Language
    Book "Introduction to Spectral Analysis" Stoica, P. & Moses, R.   Prentice Hall, 1997 No  English 
    Research         No  English 

    Prerequisites
    Number Name Credits M/R
    SGN-1106 Introductory Signal Processing 3 Mandatory
    SGN-1200 Signal Processing Methods 4 Mandatory
    SGN-1250 Signal Processing Applications 4 Recommendable

    Additional information related to prequisites
    Either SGN-1106 or SGN-1200 is required.

    Other comments

  • The course is suitable for postgraduate studies.
  • Course will not be lectured in the academic year 2005-2006.
  • Correspondence of content
    8001352 Spectrum Estimation and Array Signal Processing

    Course homepage

    Last modified 02.02.2005
    Modified byAntti Niemistö