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TSKS04 Digital Communication Continuation Course

Course Program Spring 2016

Lectures

Please observe that the following schedule should be interpreted as an indication about approximately when different topics are treated. As the course proceeds, this plan may be adjusted.

Lecture n:o Chapter Main topic Part
1 --- Introduction Course plan
2.1 Introduction Prerequisites
2.5.2 and extra material Power spectral density (PSD) PSD of linearly modulated random signals
2 2.2, 2.3 Baseband representation Complex baseband representation of stochastic processes
3 4.1 and extra material Estimation Introduction to estimation
4 4.1-4.3, 4.5.1 and extra material Estimation for synchronization Channel estimation, complex Gaussian
5 3.2, 4.3-4.5 Estimation for synchronization Hypothesis testing, delay and phase estimation
6 4.4-4.5, 5.1-5.2 Estimation for equalization Non-coherent communication, ML sequence estimation
7 5.4 Estimation for equalization ML sequence estimation, the Viterbi algorithm
8 5.5-5.6 Linear equalization Suboptimal equalizers, ZF and MMSE
9 7.1 Error control codes Convolutional codes, encoding, structure
10 7.1 and extra material Error control codes Non-catastrophic encoders, decoding, Viterbi again
11 7.1 and extra material Error control codes Error probability
Summary

My recommendation is that you read the corresponding part of the course material through once before each lecture. If not, the lecture may not be as useful to you as you might wish.

Sidansvarig: Emil Björnson
Senast uppdaterad: 2019 07 30   10:16