Course Catalog 2007-2008

TLT-5406 DIGITAL TRANSMISSION, 7 cr
Digital Transmission

Courses persons responsible
Markku Renfors

Lecturers
Markku Renfors

Lecturetimes and places
Per IV,V: Monday 16 - 19, TB222

Implementations
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture - - - 3 h/week 3 h/week -
Exercise - - - 2 h/week 2 h/week -
Exercise work - - - 1 h/week 1 h/week -
Assignment - - - 5 h/week 20 h/week -
Exam  
(Timetable for academic year 2007-2008)

Objectives
Give basic knowledge of the signal processing techniques used in digital transmission systems. Elements of digital transmission chain: source coding, channel coding, modulation, equalization, and synchronization.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Information Theoretic Foundation of Electical Communication
** information, entropy, and mutual information
** maximal mutual information and channel capacity
** source coding vs. channel coding 		 - capacity of frequency-selective and fading channels    
2. Baseband and Bandpass Digital Transmission
** bits, symbols, and waveforms
** baseband pulse amplitude modulation (PAM); Nyquist pulse-shaping; line coding
** linear I/Q modulation; real and complex symbol alphabets
** digital frequency modulation techniques
 		 - basics of partial response (PR) signaling
- scrambling
- carrier and symbol timing recovery (synchronization) 		   
3. Performance of Digital Transmission Chains
** effects of additive noise; symbol errors, bit errors and their probability; Gray mapping
** spectral efficiency and related concepts; connections to channel capacity theorem
 		      
4. Detection Theory and Intersymbol Interference (ISI) Mitigation
** basics of statistical decision making and detection; maximum likelihood (ML) and maximum a posteriori (MAP) principles
** signal space concepts and connection to practical waveforms; sufficient statistics
** detection of single symbols; matched filtering (MF)
** detection of symbol sequences; optimal receiver front-end; signal space arguments; intersymbol interference (ISI)
** zero-forcing (ZF), mean-squared error (MSE) and other optimization principles
** ML sequence detection and Viterbi algorithm
** channel equalization; linear vs. nonlinear equalizers; adaptive techniques 		 - various adaptive filtering algorithms and their relative performance; convergence properties and other essential characteristics    
5. Error Control Coding in Digital Transmission Systems
** error detection vs. correction vs. prevention; redundancy
** hard and soft decoding; coding gain
** block codes and convolutional codes; Viterbi decoding
** coded modulation and trellis codes
** interleaving; puncturing
 		      

Requirements for completing the course
Exam or two mid-term exams. Completed Matlab project.

Evaluation criteria for the course

  • Exam, quality of the project work.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Auhor ISBN URL Edition, availability... Exam material Language
    Lecture slides Digital Transmission Markku Renfors, Mikko Valkama   www.cs.tut.fi/kurssit/TLT-5406/   Yes  English 
    Book Digital Communication (J.R. Barry,) E. A . Lee and D. G. Messerschmitt     1.-3. Editions, Kluwer Academic Publishers No  English 

    Prerequisites
    Code Course Credits M/R
    SGN-1107 SGN-1107 Introductory Signal Processing 4 Mandatory
    TLT-5206 TLT-5206 Communication Theory 5-7 Mandatory

    Prequisite relations (Sign up to TUT Intranet required)

    Remarks

  • Partial passing of course must be in connection with the same round of implementation.

    • Distance learning

  • ITC utilized during the course

    • - In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
    - In compiling teaching material, particularly for online use or other electronic media
    - In compiling exercise, group or laboratory work
    - In distributing and/or returning exercise work, material etc
    - In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips

  • Estimate as a percentage of the implementation of the course

    • - Contact teaching: 40 %
    - Distance learning: 0 %
    - Proportion of a student's independent study: 60 %

    Scaling
    Methods of instructionHours
    Lectures 105
    Exercises 40
    Assignments 25
    Laboratory assignments 15

    Other scaledHours
    Exam/midterm exam 6
    Total sum 191

    Correspondence of content
    83050 Digital Transmission

    Course homepage

    Last modified 07.02.2007
    Modified byMarkku Renfors