Digital Comunications Complement
Instance: 2006/2007 - 1S
Cycles of Study/Courses
Teaching language
Portuguese
Objectives
- To present the basic topics of adaptive signal processing from a communications perspective.
- To present fundamentals of spread spectrum techniques.
Program
Topic 1: Adaptive Signal Processing
- Introduction and application examples
- Structures, algorithms and definitions
- The gradient (steepest descent) algorithm and variants (LMS, NLMS, signal and VS algorithms)
- The least square algorithm and the Recursive Least Square (RLS) algorithm. RLS fast versions: fast Kalman, FTF and FAEST
- Applications in communications: adaptive equalization and adaptive echo canceling.
Topic 2: Spread Spectrum Techniques
- Introduction and general considerations
- Direct sequence (DS) and Frequency Hopping (FH) techniques
- Pseudo-Random sequences (PN, Gold and Kasami sequences)
- Code Division Multiple Access (CDMA)
Mandatory literature
Abrantes, Sílvio A.;
Processamento adaptativo de sinais. ISBN: 972-31-0896-8
Haykin, Simon;
Adaptive filter theory. ISBN: 0-13-322760-X
Peterson, Roger L.;
Introduction to spread-spectrum communications. ISBN: 0-02-431623-7
Complementary Bibliography
Sklar, Bernard;
Digital Communications. ISBN: 0-13-084788-7
Dixon, Robert C.;
Spread spectrum systems. ISBN: 0-471-59342-7
Viterbi, Andrew J.;
CDMA. ISBN: 0-201-63374-4
Haykin, Simon;
Communication systems. ISBN: 0-471-17869-1
Teaching methods and learning activities
Classes will be as follows:
- in Theoretical classes (lectures) theory will be taught.
- Several assignments will be proposed as homework.
- Theoretical-Practical classes aim to clear up any doubts the students may have and to track the completion of the assignments.
keywords
Technological sciences > Engineering > Communication engineering > Telecommunications engineering
Evaluation Type
Distributed evaluation without final exam
Eligibility for exams
Completion of an assignment given by the teacher and two mini-tests.
Calculation formula of final grade
Assignment: 50% (30% of which correspond to the Final Report and 20% to the Demonstration)
Two mini-tests: 25% each.
Special assessment (TE, DA, ...)
Any student (including working students) will have to elaborate one homework assignment and to take both mini-tests.
Classification improvement
By improvement of the assignment's Final Report or Demonstration.
Observations
Language of instruction: Portuguese.