Course Catalog 2009-2010 International Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Mikko Valkama, Markku Renfors

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Per 4 : Monday 16 - 19, TC221 Thursday 16 - 18, TC221 Per 4, 5 : Monday 15 - 19, TC221

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

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Learning outcomes

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 & 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

Additional information about prerequisites
Basics of signal theory and random processes is essential background.

Correspondence of content

Additional information

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

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1		Lectures Excercises Practical works Laboratory assignments	Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 %

Last modified	16.06.2010
Modifier	Liisa Nummi