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
ECEN 2270 - Electronics Design Lab
Primary Instructor
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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
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Fall 2018
Covers the design and applications of digital logic circuits, including both combinational and sequential logic ciruits. Introduces hardware descriptive language, simulating and synthesis software, and programming of field programmable arrays (FPGAs).
ECEN 3300 - Linear Systems
Primary Instructor
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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.
ECEN 4242 - Communication Theory
Primary Instructor
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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
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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.
ECEN 4632 - Introduction to Digital Filtering
Primary Instructor
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Fall 2020
Covers both the analysis and design of FIR and IIR digital filters. Discusses implementations in both software and hardware. Emphasizes use of the FFT as an analysis tool. Includes examples in speech processing, noise canceling, and communications.
ECEN 4652 - Communication Laboratory
Primary Instructor
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Spring 2019 / Spring 2020
Analysis and design of realistic communication signals in a modern digital signal processing environment. Covers both analog and digital communication signals with and without noise and distortion. Pulse amplitude modulation is used initially at baseband and then combined with amplitude and phase/frequency modulation to produce the kind of bandpass signals that are used in cell phones and wireless data networks.
ECEN 5002 - Special Topics
Primary Instructor
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Spring 2019
Examines a special topic in Electrical, Computer and Energy Engineering. May be repeated for up to 9 total credit hours.
ECEN 5322 - Data and Network Science
Primary Instructor
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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 4322.
ECEN 5632 - Theory and Application of Digital Filtering
Primary Instructor
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Fall 2020
Digital signal processing and its applications are of interest to a wide variety of scientists and engineers. The course covers such topics as characterization of linear discrete-time circuits by unit pulse response, transfer functions, and difference equations, use of z-transforms and Fourier analysis, discrete Fourier transform and fast algorithms (FFT), design of finite and infinite impulse response filters, frequency transformations, study of optimized filters for deterministic signals.
