Communications and Signal Processing

The program has a strong focus on cutting-edge fields in Communications and Signal Processing and it gives excellent preparation for research and development positions in universities and international companies. Students study the fundamental concepts of information theory and coding, modulation technics, tensor-based signal processing, machine learning, data analytics, array signal processing, optimization technics and adaptive filters.

Every semester students do research. They do modeling and simulations on Python and Matlab. The topics of research emphasize the following applications: wireless systems, wireless channel modeling, antenna design and RF circuits, biomedical signal processing, brain computer interfaces, big data processing. Moreover, students learn to present their research results and are encouraged to present their results at leading international conferences.

1^st, 2^nd and 4^th semesters

3^rd semester

The Mathematical Modeling of Devices and Systems

Info-communication technologies

Mobile Communications

Information Theory and Coding

Advanced Digital Signal Processing

Advanced Topics in Mathematic

Multimedia Standards

Theory of electromagnetic compatibility of radio electronic equipment and systems

Communication Networks

Advanced Mobile Communication Networks

MIMO Wireless Communications

Antenna Systems

Cellular Communication Systems

Audio Coding

Advanced Topics in Communications and Signal Processing

Measurements in Communications

Adaptive and Array Signal Processing

Cramér-Rao Bound For Near-Field Localization in Bistatic MIMO Radar Systems

Performance Analysis for Tensor Based Near Field Localization in Bistatic MIMO Radar Systems

Positioning technique for Multi-connectivity 5GmmWave

Acoustical Source Localization using High-resolution parameters estimation algorithms for Hexagonal microphone arrays

Efficient Algorithms for the Computation of Coupled CP decomposition and symmetric CP decomposition for Tensor-Based Signal Processing in Communication Systems

EEG data processing based on Coupled CP and (L,L,1) tensor decomposition and ECG spectral analysis for telemedicine systems

Application of Deep Learning Methods to MIMO Transceiver Design

Evaluation of Articial Neural Networks-based Handover Algorithms in Multi-Terminal and Multi-Application Scenarios

Machine Learning based SON for Coverage and Capacity Optimization in Mobile Networks

Big Data Dimensionality Reduction (BDDR) techniques to characterize the dynamic between MLB and MRO SON use cases

Design of cooperative communication system based on CubeSat satellites

Filtering and increasing sensitivity techniques for ultrasonic sensors for UAVs

3D Static buildings aware path planning algorithms for localization in wireless networks

Fiber-optic interfaces for analogue E/O LTCC microwave modules

Application of mathematical methods for the analysis of optical reflectograms in distributed measurements

Study of Ultra-wide band antennas for non-destructive testing

Direction of arrival estimation with cylindrical slotted waveguide antennas

Russian curriculum

English curriculum

Univ.-Prof. Dr.-Ing. Martin Haardt 

M. Sc. Dipl.-Ing. (FH) Marko Hennhöfer 

Tattelecom

MTS

Academician M.F. Reshetnev Information Satellite Systems

KAMAZ

RadioGigabit

Quantenna Communications

Promwad

Syntacore

Joint Stock Company "Contsern "Sozvezdie"