Course Catalog 2008-2009 International Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Course´s person responsible

Mikko Valkama, Markku Renfors

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Per 4 : Tuesday 13 - 16, TC173 Thursday 17 - 19, TC163 Per 4, 5 : Monday 16 - 19, TC163 Per 5 : Friday 8 - 10, 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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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 & 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

Correspondence of content

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	24.11.2008
Modifier	Markku Renfors