Paul Gendron, PhD
Electrical & Computer Engineering
Science & Engineering 214D
|1999||Worcester Polytechnic Institute||PhD in Electrical Engineering|
|1993||Virginia Tech||MS in Electrical Engineering|
|1985||University of Massachusetts||BS in Electrical Engineering|
- Computer Engineering BS, BS/MS
- Computer Engineering Cybersecurity
- Computer Engineering MS
- Electrical Engineering BS, BS/MS
- Electrical Engineering MS
- Electrical Engineering PhD
Probability theory, signals and linear networks, Fourier transforms, random processes and noise are reviewed. Analog communications including amplitude and frequency modulation with and without noise are studied. Digital communications including baseband pulse modulation, quantization, sampling theory, digital pulse shaping, matched filter, Nyquist criterion and error rates due to noise are covered.
Methods and techniques for digital signal processing, covering the basic principles governing the design and use of digital systems as signal processing devices. Review of discrete-time linear systems, Fourier transforms and z-transforms. Topics include allpass and minimum-phase systems, linear phase systems and group delay, sampling, decimation, interpolation, discrete-time filter design and implementation, discrete Fourier series, discrete Fourier transform, the fast Fourier transform, and basic spectral estimation. Applications to digital processing of real data are included.
Representation, analysis and design of discrete signals and systems. Topics include a review of the z-transform and the discrete-time Fourier transform, the fast Fourier transform, digital filter structures, digital filter design techniques, quantization issues and effects of finite word-length arithmetic, sampling and oversampling, decimation and interpolation, linear prediction, the Hilbert transform, and the complex cepstrum. Students gain experience in analyzing and designing digital signal processing systems through computer projects.
- Adaptive filtering for angle-delay-Doppler spread channels
- Low probability of detection acoustic communications
- Magnetic anomaly detection and tracking
- Seismic event detection and classification
Paul J. Gendron received his PhD from Worcester Polytechnic Institute, his MS from Viginia Tech and his BS from the University of Massachusetts Amherst, all in Electrical Engineering. His work is broad in the field of statistical signal processing, detection and estimation theory. His contributions range from seismic event detection and classification to adaptive filtering and low probability of detection acoustic communications. He was with the Naval Research Laboratory from 2000 to 2007 and with the Spawar Systems Center Pacific from 2008 to 2012. In 2000, he was the recipient of an Office of Naval Research research fellowship award for his work with the Acoustic Division at the Naval Research Laboratory. In 2006, he served as an Office of Naval Research Visiting Scientist at DRDC-Atlantic, Canada. Dr. Gendron presently conducts research for the Office of Naval Research related to the discover and invention of enabling technologies for undersea surveillance.