Signal Theory and Communications

SIGNAL THEORY AND COMMUNICATIONS

The Signal Theory and Communications Research Group (STC) of the High Polytechnic School of Mondragon Unibertsitatea investigates industrial applications of signal processing and communications. The STC research group is composed of 13 researchers, 10 of which have been awarded a PhD degree, and manages an annual budget of around 700.000 € in basic and applied research.

The research group is active in the following areas:  

Industrial communications and communications systems

Design, implementation and integration of wired and wireless communication systems:

  • Wireless industrial communications
    • Real-time communications.
    • SDR platforms and cognitive radio.
    • Sensor networks.
    • Active and passive wireless sensors.
  • Broadband PLC systems.
  • TV head-end and distribution systems.
  • Internet of Things (IoT).
  • Design, simulation and implementation of RFID systems.

Intelligent transport systems

Analysis, design and implementation of communication protocols and devices for control, safety and automatic operation:

  • Vehicular communications
    • Hybrid IEEE 802.11p/ITS-G5 and LTE-V2V systems.
    • V2X/V2V communications for cooperative systems. 
  • Connectivity for railway sector:
    • Virtual coupling and intelligent train composition.
    • Autonomous operation (ATO).
    • Design, simulation and implementation of on-board Ethernet systems.

Dependability, diagnostics and remaining useful life analysis of industrial systems

Dependability analysis, remaining useful life predictions, failure diagnostics and maintenance planning of industrial systems such as railway, cables, transformers or batteries:

  • Dependability analysis: analysis and design of dependable systems.
  • Remaining useful life prognostics and failure diagnostics: development of diagnostics and prognostics solutions from physics-based and/or data-driven models.
  • Maintenance planning: development of cost-effective maintenance solutions to improve dependability.

Advanced manufacturing

Signal processing algorithms for inspection and monitoring of industrial processes:

  • Non-destructive testing: using ultrasounds, piezoelectric sensors, radiofrequency, etc.
  • Design and integration of sensors.
  • Virtual sensing: indirect estimation of system and process parameters through system modelling.
  • RFID-based monitoring systems for logistics.

Biomedical systems

Application of signal processing algorithms and communications to the biomedical sector:

  • Algorithms to support clinical decision making: based on image and signal processing.
  • Biomarker identification and classification using bio-signals and medical imaging (EEG, ECG, etc.).
  • IoT technologies for the digitalization of health services.

Design and implementation of signal processing and embedded systems

  • Implementation of signal processing algorithms on DSP, FPGA and SoC (Xilinx Zynq) devices.
  • Design and implementation of embedded systems.
  • High-level design and simulation tools (Simulink, System Generator, HDL Coder, etc.)
  • Design and validation of communications and radiofrequency systems and devices.

 

 

Offers of employment and doctorate

Discover the job and thesis offers at Mondragon Unibertsitatea, we can have a position of interest for you.