| Number |
dcom
|
| ECTS |
3.0 |
| Level |
advanced |
| Overview |
Today, information in communications technology is mainly transmitted in the form of discrete (digital) symbols. The module “Digital Communication” teaches the concepts and methods of digital transmission technology and the associated topics of digital signal processing. Key topics for understanding these are random signals and stochastic processes.
Random signals and noise:
- stochastic process
- probability density and distribution
- expected values, spectral power density
- influence of a linear system on random signals
Adaptive filters:
orthogonality principleoptimal linear estimation (MMSE, Wiener-Hopf)adaptive filters: Recursive Least Squares (RLS), Least Mean Squares (LMS), Kalman Filter.
Digital modulation methods:
binary modulation methodsmulti-stage modulation methodsoptimal receivers (matched filter, decision feedback equaliser)analytical signal, baseband representation, Hilbert filter
|
| Learning objectives |
- The students understand the variables associated with random signals and can calculate these for practical examples.
- They know the most important adaptive filters, can apply them to prac-tical problems and understand the underlying principles.
- They understand the concept of optimal estimation using adaptive fil-ters in terms of the smallest mean sum of squares of errors and can ap-ply this.
- The students understand the basics of digital modulation methods and can independently analyze and evaluate simple systems.
|
| Previous knowledge |
- Communication Technology (kom)
- Digital Signal Processing (dsv)
|
