Course Catalog 2011-2012
International

Basic Pori International Postgraduate Open University

|Degrees|     |Study blocks|     |Courses|    

Course Catalog 2011-2012

TLT-5406 Digital Transmission, 7 cr

Additional information

Course home page: www.cs.tut.fi/kurssit/TLT-5406

Person responsible

Mikko Valkama, Markku Renfors

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
Excercises
Assignment



 



 
 21 h/per
 16 h/per
 6 h/per
+21 h/per
+14 h/per
+20 h/per



 
TLT-5406 2011-01 Wednesday 9 - 12, Lectures in room TB223 at 9-12

Requirements

Exam or two mid-term exams and successfully completed Matlab project.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

This course focuses on the information transmission and signal processing techniques utilized in widely-used communications systems, like mobile communications, wireless LANs, digital TV, and ADSL. These techniques include coding, modulation, filtering, and detection. After the course: * A student can explain the information theoretic foundations of digital communications. She/he recognizes and is able to explain the purpose of source coding, channel coding, and channel capacity for the information transmission task. * A student can recognize and explain the main elements of digital transmission systems and the common digital modulation methods in waveform domain. She/he can also explain the effects of the transmission channel and the electronic modules of the transmission chain on the performance of the transmission system. * A student is able to analyze the transmission link level performance of digital communication systems. She/he recognizes the essential analysis methods and is able to apply them for different communication waveforms. She/he is able to formulate the signal model for a transmission link from a relevant system definition, develop a Matlab model, and simulate its performance. * A student recognizes and is able to explain the main functions of communications transmitters and receivers. She/he can explain the principles of detection theory and apply detection theory to the signal processing functions of communications receivers. * A student can explain the significance and principles of error control coding in digital transmission systems. She/he recognizes the common error control coding methods and knows how the redundancy introduced by the codes can be utilized in the receiver. A student is able to analyze the coding gain at link level.

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 & 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.      

Evaluation criteria for the course

Exam, quality of the project work.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   Digital Communication   (J.R. Barry,) E. A . Lee and D. G. Messerschmitt       1.-3. Editions, Kluwer Academic Publishers      English  
Lecture slides   Digital Transmission   Markku Renfors, Mikko Valkama            English  

Prerequisites

Course Mandatory/Advisable Description
TLT-5206 Communication Theory Mandatory    

Additional information about prerequisites
plus signal processing basics

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
TLT-5406 Digital Transmission, 7 cr 83050 Digital Transmission, 4 cu  

More precise information per implementation

Implementation Description Methods of instruction Implementation
TLT-5406 2011-01        

Last modified24.01.2012