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Mathys, Peter

Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Peter Mathys’ research focuses on modern electronic communication systems and their applications. Software defined radios are the key to implementing such systems for teaching, research, and practical applications. Specific applications that we are working on are the intelligent dynamic use of the radio spectrum (which is a finite natural resource) to accommodate general wireless communications from cell phones, computers, etc, the measurement and prediction of radio wave propagation, the detection of anomalies in the use of the radio spectrum, and the safety and security of vehicle-to-everything (V2X) communication. An emerging field of interest is the combination of signal processing, communications, and machine learning to produce adaptive and intelligent communication devices.

keywords

  • software defined radio (SDR), cognitive radio, radio spectrum sharing, communication theory, V2X, LTE, 5G NR, coding theory, machine learning, education research

Publications

selected publications

Teaching

courses taught

  • ECEN 2270 - Electronics Design Lab
    Primary Instructor - Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021 / Spring 2022
    Provides an introduction to analysis, modeling, design, and testing of analog electronic circuits in a practical laboratory setting. The laboratory is centered around a robot platform and includes design, SPICE simulations, prototyping and testing of circuits necessary to drive and remotely control the robot.
  • ECEN 2350 - Digital Logic
    Primary Instructor - Fall 2018
    Covers the design and applications of digital logic circuits, including both combinational and sequential logic circuits. Introduces hardware descriptive language, simulating and synthesis software, and programming of field programmable arrays (FPGAs). This course is 3 lectures and 1 lab per week.
  • ECEN 3300 - Linear Systems
    Primary Instructor - Fall 2022 / Fall 2023
    Characterization of linear time-invariant systems in time and frequency domains. Continuous time systems are analyzed using differential equations and Laplace and Fourier transforms. Discrete time systems are analyzed using difference equations, Z-transforms and discrete time Fourier transforms. Sampling and reconstruction of signals using the sampling theorem. Applications of linear systems include communications, signal processing, and control systems. Degree credit not granted for this course and ECEN 3301.
  • ECEN 4242 - Communication Theory
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2021 / Fall 2022 / Fall 2023
    Covers modern digital and analog communication systems. Analysis and design of communication signals, transmitters, channels, and receivers. Amplitude and angle modulation and demodulation are treated as well as theory and application of digital data transmission. Emphasis is also placed on the analysis and mitigation of the effects of noise through signal design at the transmitter and signal processing at the receiver.
  • ECEN 4322 - Data and Network Science
    Primary Instructor - Spring 2024
    The course covers the theory and design of algorithms that are used to model, analyze, and extract information from large scale datasets and networks. The course includes a project. Same as ECEN 5322.
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