TLTE 3010 DIGITAL COMMUNICATIONS

 

LECTURES:

Wednesday 14-17 and Monday 12-14

        Slides for Lecture 1 and 2

        Slides for lecture 3

        slides for lectures 4 and 5 (Week 39)

        Slides for lectures 6 and 7 (Week 40)

        Slides for lecture 8 (6.10.)

        Slides for lecture 9 (8.10)

        Slides for lecture 10 part1, part2, and part3 ( 13.10, last lecture from 12-14 in F119 and 14-16 in TF4110 )

 

EXERCISES:

Monday 14-16

1.     Exercise 15.9.2014

2.     Exercise 22.9.2014

3.     Exercise 29.9.2014

4.     Exercise 6.10.2014

5.     Exercise Wednesday 15.10.2014 from 14-16 in F366

 

EXAM:

To the exam, Exercises 1-5 and Lectures 1-10 (except the last slide set lect10 part3).

Exam may contain a couple of theoretical questions, and some calculations maybe similar to the exercises. Some formulas are given, some formulas are considered to be general information for the University level students, so they are not given.

 

The links below are not needed for exam, they are just for additional information.

Things to know for lecture 1 and 2:

         Signal processing

         Autocorrelation

         Spectral density

         Probability

         Probability theory

         Set theory

         Conditional probability

         Bayes theorem

         Marginal distribution

         Random variable

         Probability density

         Normal distribution

         Cumulative distribution

         Moment generating function

         Joint distribution

         Stochastic process

         Stationary process

         Covariance function

         Cross correlation

         Markov process

         Estimation theory

 

Things to know for lecture 3:

         Noise

         Interference and in general

         Thermal noise

         White noise

         Filters

         Butterworth filter

         Sampling

         Sampling theorem

         Sample and hold

         Modulation

         Pulse amplitude modulation

         Nyquist frequency

         Quantization

         Companding

         Pulse-code modulation

         Oversampling

 

Things to know for lectures 4 and 5:

         Orthogonal

         Orthogonal functions

         Orthogonal group

         Carrier

         FIR

         Convolution

         Baseband

         Fading

         Complex Gaussian

         Rayleight distribultion

         Additive white Gaussian noise

         Intersymbol interference

         Demodulation

         Detection

         Maximum likelihood

         Q-function

         Phase shift keying

         Mathched filter

 

Things to know for lectures 6 and 7

 

         CDMA

         Z-Transform

         Equalizers

         ZFE

         MMSE

         Adaptive equalizer

         Blind equalizer

         Diversity

         Antenna diversity

         MRC

         Rake receiver

 

Things to know for lectures 8

 

         Correlation receivers

         Coherent receivers

         Coherent detection

         Carrier recovery